Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Senior Principal Engineer- End-to-End AI Training Framework

Company Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2 systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2 systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10 years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2 systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. LI-JM1

Pharmacy Technician II Certified - General Pharmacy

Description CHRISTUS Santa Rosa Hospital – San Marcos, which originated in 1923 as Hays County Soldiers, Sailors and Marines Memorial Hospital, opened at its current Wonder World Drive location in 1983. Our staff of more than 700 Associates works with more than 300 active and consulting physicians to provide quality services to patients and their families. For more than 20 consecutive years, we have been named The Best Hospital in Hays County in the annual “Best of Hays” publication released by the San Marcos Daily Record. In addition to interventional cardiac services, CHRISTUS Santa Rosa Hospital – San Marcos is a Certified Chest Pain Center and an accredited Primary Stroke Center. We lead the region in da Vinci robotic-assisted surgery and offers a variety of specialty care services including medical imaging, rehabilitation, hospice, women’s services and more. Summary: All pharmacy technicians work under the direction of Clinical Pharmacists to provide pharmacy services with compassion, excellence and efficiency. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Must be 18 years or older. Pharmacy Technicians perform ONLY non-judgmental technical duties under the direct supervision of a pharmacist. Operational Duties and Responsibilities Assist Pharmacists with Medication Histories. Train Tech I associates. Prepares drug orders per physician request according to established policies, procedures and protocols. Verifies computerized patient medication records accurately. Maintains, accurate, complete patient drug record. Compounds pharmaceuticals including non-sterile and sterile products, chemotherapy and parenteral nutrition products accurately. Issues controlled substances to patient care areas and maintains records as required by law and institutional policies. Provides services efficiently and in a timely fashion. Verifies the daily activities of the department are complete and recorded. Maintains competency required for current job title/position Maintains current technician license. Ensures applicable CE records and licensure are maintained in department files. Attends staff meetings. Maintain IV certification and competencies. Completes all competency/skills assessment requirements. Specialty area Serves as the technician in specialty areas such as the operating room, IV room, or pharmacy work areas outside the central pharmacy. Ambulatory care Provides ambulatory pharmaceutical care services as assigned such as but not limited to: anticoagulation clinics, intensive medical home, transition of care, Discharge Medication reconciliation, etc. Retail Performs outpatient distributive functions related to entering prescriptions orders, selecting the correct medications for new and refilled prescription orders, and coordinates delivery of medications for patient pick-up or delivery. Clinical Duties and Responsibilities Ensures safe, appropriate, cost-effective drug therapies for patients according to established policies, procedures, and protocols. Reads, extracts and interprets information in patient medical records accurately. Detects and reports suspected adverse drug reactions accurately and in a timely manner. Sustains the hospital drug formulary, minimizing non-formulary procurements, utilizing therapeutic substitution protocols and promoting rational drug therapy selection. Provides accurate, adequate and timely drug information to the hospital’s pharmacy associates. Coordinates pharmacist drug education to patients and their families per institutional protocol. Participates in the quality improvement and medication use review activities of the department. Collects data, conducts monitors and inspections and maintains logs, records and other documentation as assigned. Conducts designated interventions as defined in department Clinical Intervention activities (IV to PO, Renal Dosing, Pharmacokinetic dosing support, Anticoagulation) Baseline departmental standards for reporting interventions for clinical productivity as defined by departmental goals. Provides services efficiently and in a timely fashion Occupational Hazards Potential for exposure to hazardous and toxic substances (including chemotherapeutic, cytotoxic drugs and cleaning solutions), sticks or cuts by needles and other sharp items. Risk 0 exposure category. Potential for musculoskeletal injuries if proper lifting and carrying techniques are not used. Potential exposure to biologic material when participating in direct patient care activities (e.g. patient education, code attendance). Job Requirements: Education/Skills High School Diploma or equivalent preferred Experience 3-5 years of pharmacy technician experience preferred Meet all criteria of Pharmacy Technician I Licenses, Registrations, or Certifications Registered Pharmacy Technician in the state of practice required Certified Pharmacy Technician preferred ACPE accredited IV certification program, including hazardous (minimum 40 hours); or meet minimum State requirement. Not applicable to Ambulatory Care settings or Retail settings In accordance with the CHRISTUS Health License, Certification and Registration Verification Policy, all Associates are required to obtain the required certifications for their respective positions within the designated time frame. Work Schedule: 5 Days - 8 Hours Work Type: Per Diem As Needed

Clinical Pharmacist I - General Pharmacy

Description CHRISTUS Santa Rosa Hospital - New Braunfels (CSRH-NB), nestled in the heart of downtown New Braunfels, is a full-service, 94-private bed facility that continues to expand to meet the needs of New Braunfels’ strong population growth. Innovative equipment and procedures are utilized, including an Outpatient Imaging Center, orthopedic and surgical services, rehabilitation, a renovated birthing center, including 24/7 neonatal coverage, emergency care, wound care/hyperbaric center, 3D mammography, and comprehensive heart care, from diagnostics to open-heart surgery. Summary: All pharmacists fill orders for drugs, monitor patient drug therapies and provide drug information. Pharmacists provide pharmacy services with compassion, excellence, and efficiency. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Operational Duties and Responsibilities Prepares and dispenses drug orders per physician request according to established policies, procedures, and protocols. Interprets drug orders (verbal and written) and transcribes/verifies into computerized patient medication record accurately. Maintains, accurate, complete patient drug record. Compounds and dispenses pharmaceuticals including non-sterile and sterile products, chemotherapy and parenteral nutrition products accurately. Issues controlled substances to patient care areas and maintains records as required by law and institutional policies. Provides services efficiently and in a timely fashion. Maintains current pharmacist license. Ensures applicable CE records and licensure are maintained in department files. Attends staff meetings. Completes all competency/skills assessment requirements. Supervises and directs pharmacy support personnel. Verifies the daily activities of pharmacy technicians Ambulatory care Pharmacist: Provides ambulatory pharmaceutical care services utilizing approved protocols and/or collaborative agreement with other providers, including managing patient drug therapy, anticoagulation management, providing patient education, and preparing and/or overseeing the preparation and dispensing of medications. Performs duties in the clinical areas assigned such as but not limited to anticoagulation clinics, intensive medical home, transition of care, Discharge Medication reconciliation, etc. Clinical Duties and Responsibilities Ensures safe, appropriate, cost-effective drug therapies for patients according to established policies, procedures, and protocols. Monitors drug therapy regimens for contraindications, drug-drug interactions, drug-food interactions, allergies and appropriateness of drug and dose. Assists with pharmacokinetics consult service and renal drug dosing per hospital protocol. Reads, extracts, and interprets information in patient medical records accurately. Detects and reports suspected adverse drug reactions accurately and in a timely manner. Sustains the hospital drug formulary, minimizing non-formulary procurements, utilizing therapeutic substitution protocols, and promoting rational drug therapy selection. Provides clinical consultation and clarification to practitioners as appropriate. Provides accurate, adequate, and timely drug information to the hospital’s professional staff. Provides drug education to patients and their families per institutional protocol. Participates in the quality improvement and medication use review activities of the department. Collects data, conducts monitors and inspections, and maintains logs, records and other documentation as assigned. Conducts designated interventions as defined in department Clinical Intervention activities (IV to PO, Renal Dosing, Pharmacokinetic dosing support, Anticoagulation). Baseline departmental standards for reporting interventions for clinical productivity as defined by departmental goals. Participates in antibiotic stewardship, opioid stewardship, and shortage management activities as assigned. Attends interdisciplinary rounds when assigned. Provides services efficiently and in a timely fashion. Occupational Hazards Potential for exposure to hazardous and toxic substances (including chemotherapeutic, cytotoxic drugs and cleaning solutions), sticks or cuts by needles and other sharp items. Risk 0 exposure category. Potential for musculoskeletal injuries if proper lifting and carrying techniques are not used. Potential exposure to biologic material when participating in direct patient care activities (e.g., patient education, code attendance). Job Requirements: Education/Skills Doctor of Pharmacy or BS Pharmacy degree required Experience Hospital experience preferred Licenses, Registrations, or Certifications Pharmacy state licensure required within 60 days of start date BLS or ACLS is required PALS (for pediatric practice) is required In accordance with the CHRISTUS Health License, Certification and Registration Verification Policy, all Associates are required to obtain the required certifications for their respective positions within the designated time frame. Work Schedule: MULTIPLE SHIFTS AVAILABLE Work Type: Full Time