Director of Systems Engineering (California)

Join our highly collaborative team working on an innovative platform as a hands‑on Director of Systems Engineering. You are a technical leader with strong background in complex instrument and biological development who thrives in early‑stage environments, enjoys rolling up your sleeves, and can move seamlessly between system architecture, implementation, testing, troubleshooting, and team leadership. You will be at the forefront of ensuring the launch success of our RAPTOR™️ platform, guiding expansion of our custom application development and building the systems engineering function at Pleno. In this role, you will live at the intersection of Software, Hardware, Assay Development, Bioinformatics, Operations, and Manufacturing team functions. You can drive clear system requirements, ensure smooth handoffs between teams, deliver scalable system testing, and reduce integration frictions. You excel at fostering strong collaboration and communication between multidisciplinary teams and drive consensus within the R&D team. This is an opportunity to join a team working on breaking new ground in genomics and multi-omic biomarker detection. As we move from early development into scale, manufacturing transfer, and expanded customer use, we need a strong leader to close integration gaps, resolve unclear ownership, and identify weak system boundaries. You’ll help shape how the platform evolves, how teams work together, and how technical decisions made today hold up as we grow and expand because you’ve seen where systems fail, and you’ve owned the tradeoffs. In this role, you will: Develop and execute systems engineering and integration strategies across multiple programs, aligning with overall product and platform objectives. Lead cross‑functional teams to define, trace, and verify system requirements, balancing fast delivery with long‑term scalability and platform evolution. Represent systems engineering at the R&D leadership level, clearly communicating risks, dependencies, and readiness to executive stakeholders. Establish and scale systems engineering processes, best practices, and technical standards, including decision frameworks, test/integration protocols, and risk management. Drive system‑level issue resolution by leading root cause analysis and coordinating rapid responses across software, hardware, assay development, and data workflows. Oversee system design to ensure performance, scalability, reliability, and regulatory compliance, making pragmatic tradeoffs between speed, risk, and technical debt. To be successful in this role, you have: Technical Expertise Strong hands‑on experience in complex instrument system architecture, requirements definition, integration, verification, and system bring‑up Technical expertise in system‑level requirements gathering and system test, spanning both hardware and software domains Industry experience in biotechnology, life sciences, or medical devices, with familiarity in genetics, genomics, or molecular biology workflows Familiarity with software development practices and sprint cycles, including the ability to improve tools, processes, and handoffs between software development and systems teams Experience with data aggregation, quantitative computing, or data‑driven system analysis with tools like JMP, etc (plus) Great attention to detail, spirit of collaboration, and positive attitude when dealing with intricate problems under pressing timelines 3–5 years of experience as a people leader. Proven ability to operate effectively in high‑ambiguity, early‑stage environments, and make decisions with limited information. Excellent communication skills and comfort collaborating across disciplines. The ability to operate simultaneously at system‑detail and organizational‑strategy levels, knowing when to dive deep and when to delegate Demonstrated success scaling systems engineering practices in growing or early‑stage organizations across multiple programs Bias toward enabling teams, not becoming a single‑threaded technical bottleneck Strong technical judgment under uncertainty, with a track record of making irreversible decisions at the right level of rigor Ability to translate complex system risks into clear, actionable executive communication Education & Experience: Bachelor’s, Master’s, or PhD in Engineering, Computer Science, Systems Engineering, or a related field. 10–15 years of experience in systems engineering and at least 3‑5 years of related leadership roles with minimum experience thresholds adjusted for education level (PhD: 6 years, Master’s: 8 years, Bachelor’s: 10 years) Note: This position will require regular onsite participation at our office/lab in San Diego, CA - to apply you should be resident in the greater San Diego County area. We are not able to consider relocation at this time. The compensation range presented allows for the possibility of varied combinations of education and experience. Compensation decisions are dependent on several factors including, but not limited to, level of the position, skills, knowledge and experience of a candidate, internal equity, and alignment with comparable market data. The range for this position covers considered levels from $170,000 to $220,000. About Pleno Pleno is a multidisciplinary team of scientists and technologists focused on collaboration and asking questions. We strive to find the best, and most meaningful answers for biochemistry and engineering problems in our mission to build a novel multi‑omic instrument platform that will revolutionize biological target detection for a wide array of meaningful applications. We value our Pleno people and each person's wellbeing is important to us, so in addition to offering industry competitive compensation, we also offer the following: Equity - everyone at Pleno has a stake in our success Generous company‑sponsored contribution to health, dental and vision coverage Company contributions to life insurance, short term and long‑term disability and 401k Flexible Paid Time Off - plus 11 paid holidays including a winter break company‑wide close Parental Leave - we value our families and include generous parental leave and wage replacement Free catered onsite meals twice weekly Fitness and wellness facilities Regular opportunities to spend social time together like happy hours & team building events - we stop to celebrate our wins We are hiring for positions onsite at our office/lab in San Diego, CA – all positions are full time employment . All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, or on the basis of disability, gender identity, and sexual orientation. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form. J-18808-Ljbffr

Senior Data Scientist - Big Data R&D, Identity Graph & KYC (Miami)

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself, keep reading. About The Role The Big Data R&D team develops cutting‑edge big data and graph‑based solutions for entity search, entity resolution, and identity matching that power Socure’s KYC and compliance products. As a Senior Data Scientist I, you will lead the design and deployment of advanced ML and graph algorithms on large‑scale PII datasets, own end‑to‑end projects from problem definition through production validation, and serve as a key technical partner to Product, Engineering, and Client‑facing teams. You will help define standards for feature engineering, experimentation, and data quality across our identity graph stack, with substantial impact on coverage, accuracy, and fairness. What You’ll Do Own the design, development, and evaluation of machine learning, statistical, and graph‑based algorithms for entity‑resolution, identity trust scoring, and anomaly detection on massive datasets. Architect and optimize graph‑based identity representations (identity graph structure, linkage rules, clustering) to improve match rates, reduce false positives/negatives, and support downstream fraud and KYC models. Build and maintain scalable data pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments. Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure rigorous validation before rollout. Evaluate new internal and external data sources: explore signal quality, design backtests, quantify incremental value, and provide clear recommendations on vendor selection and integration. Partner closely with product managers and engineers to translate ambiguous business and regulatory requirements (e.g., KYC coverage, watchlist matching) into concrete modeling and data roadmaps. Provide deep analytical support to Socure’s compliance and regulatory product suite, including investigative analyses, root‑cause analysis for anomalies, and clear narratives for internal and external stakeholders. Contribute to model governance and documentation: clearly explain model logic, data dependencies, limitations, and monitoring plans to internal risk/compliance stakeholders. Mentor junior data scientists and engineers on best practices in data exploration, feature engineering, experimentation, and code quality. Communicate complex technical concepts and trade‑offs in a concise, structured way to both technical and non‑technical audiences (e.g., product reviews, customer meetings, internal briefings). What You Bring Master’s degree with 3 years of relevant industry experience, or Ph.D. with 1 years of experience in applied ML / data science roles; background in Computer Science, Statistics, Mathematics, or related quantitative fields preferred. Strong proficiency in Python (preferred) or Scala, including experience with ML libraries such as scikit‑learn, XGBoost, TensorFlow or PyTorch. Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy datasets. Deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, and experiment design (A/B testing, holdout strategies, stratification). Experience developing production‑quality data pipelines and automated workflows using Airflow or similar orchestration tools. Practical familiarity with graph databases and/or graph frameworks (Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms for clustering, link prediction, and community detection is strongly preferred. Solid SQL skills and experience working with large‑scale analytical data stores. Experience in at least one of: identity verification, fraud detection, credit risk, or adjacent high‑stakes domains is a plus. Demonstrated ability to lead medium‑to‑large projects end‑to‑end, make sound trade‑off decisions under ambiguity, and influence cross‑functional stakeholders with data and clear reasoning. Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Compensation Range: $170K - $200K J-18808-Ljbffr

Beyond Moore Computational Research Scientist (Berkeley)

Beyond Moore Computational Research Scientist Join to apply for the Beyond Moore Computational Research Scientist role at Berkeley Lab Base pay range $94,740.00/yr - $227,376.00/yr Berkeley Lab’s Applied math and Computational Sciences Division has an opening for a Beyond Moore Computational Research Scientist to evaluate and develop devices to hardware/circuit co‑design flow for architectural specializations for high performance computing neuromorphic and edge computing applications. In the absence of Moore’s Law Scaling, the DOE must investigate alternative paths to continuing computing performance improvements for scientific applications through architectural specialization. Since the beginning of the microchip, we have become accustomed to Moore’s Law relentlessly delivering a doubling of performance, energy efficiency, and density for high‑performance computing (HPC) (and all electronic devices) every 18–24 months. This expectation has led to a relatively stable ecosystem built around general‑purpose processor technologies such as the x86, ARM, and Power instruction set architectures. However, with the tapering of lithography improvements, shrinking transistors can no longer be relied on exclusively to deliver continued performance improvements in digital electronics. Absent a new transistor technology to replace CMOS, the primary opportunity for continued performance improvement for digital electronics and HPC is to make more efficient use of transistors through architecture specialization, application‑specific acceleration, and compilers/programming‑models that better control data movement than those available today. The successful applicant will contribute to the development and evaluation of novel heterogeneous devices based circuit design for extreme heterogeneous SoC (System on Chip) designs, and evaluate their merit for emerging computational workloads for the purpose of maximizing performance and energy efficiency. This work will have a broad impact on high performance and other larger‑scale computing for critical applications for society and science. The successful applicant will need to have expertise with computer architecture and processor design from the ground up, and have skills in Spice analog/digital circuit design, Verilog and use of CAD/EDA tools; it is also beneficial if the candidate has experience with full tape‑out experience of ASICs. Using those skills, the successful applicant will design post‑Moore device‑based compute, memory, or data transfer blocks for key application kernels to demonstrate the merit of this approach. The applicant will also make key intellectual contributions and consequently publish papers to the emerging field of extreme heterogeneous computing and domain‑specific specializations. Knowledge of processor design techniques like Logic‑In‑Memory/In‑Memory Computing, Spiking Neural Network (SNN) architectures and multivalued logic design techniques is a bonus. Responsibilities Design circuits, hardware accelerators and processor architectures using post‑Moore devices to accelerate key HPC applications and application kernels. Develop compact models and methodologies to use these circuits for performance and energy characterizations which can be used in architectural simulation framework for tightly integrating these accelerators into heterogeneous systems and SoCs that may contain multiple different kinds of accelerator devices. Identify opportunities and challenges for devices to architectural design space exploration for several post‑Moore devices to address those bottlenecks and develop circuit design models to determine the performance potential for those solutions. Develop architectural and circuit models for emulation in FPGA hardware. Develop metrics and benchmark tests to compare conventional CMOS‑based processors/accelerators and enhanced post‑Moore device‑based computational accelerators for key HPC applications and algorithms. Publish work in academic journals and present it at conferences and workshops. Lead and assist in the preparation of proposals for funding. Mentor graduate students and postdocs. Qualifications PhD or equivalent in a Computing Science or Computer Engineering‑related scientific discipline. Mandatory 3 Years of Postdoctoral research experience or equivalent research experience. Past experience in either machine‑learning accelerators or SRAM array design or basic blocks of processor at transistor level and/or superconducting circuit design. Courses or experience in CAD for VLSI algorithms and C++ programming. Proficient in Spice circuit simulations, Verilog and hardware design in CMOS, FeFET, NCFET etc. Familiarity with hardware EDA/CAD tools and evaluation/modelling tools in order to extend existing infrastructure to rapidly evaluate CMOS designs. Demonstrated creativity, initiative and ability to design, develop and implement complex solutions in consultation with designated technical expert(s) and/or supervisor. Experience and track‑record writing technical papers and reports. Experience with the use of script languages and system utilities such as configure, Perl, UNIX shell scripts, and “make.” Proven record of working effectively in a team, seeing projects through to completion, meeting deadlines, interacting with users, and thorough documentation of contributions. Willingness to learn and develop skills in new topics. Desired skills/knowledge Previous experience and publications in processing‑in‑memory and logic‑in‑memory architectures is highly desirable. Experience with developing computational dynamical systems, including networks of coupled oscillators. Experience with computational or systems neuroscience. Experience with superconducting circuit simulation and design. Experience with neuromorphic computing. Experience with coding in C++/Python for CAD tool development for ASIC design. Experience with higher‑level hardware design languages (HDLs) such as CHISEL, PyMTL, or others. Experience with FPGA design flows. Demonstrated ability to lead technical efforts with teams of people will also be beneficial. Benefits and Additional Information Exceptional health and retirement benefits, including pension or 401K‑style plans. A culture where you’ll belong – we are invested in our teams. In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year. Parental bonding leave (for both mothers and fathers). Application date: Priority consideration will be given to candidates who apply by January 20 2026. Applications will be accepted until the job posting is removed. Appointment type: This is a full‑time, 2 year, term appointment with the possibility of extension or conversion to a career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. Salary range: The expected salary for this position is $94,740 – $227,376, which fits within the full salary of $126,324 – $176,832 depending upon the candidate’s skills, knowledge, and abilities. Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work modality: Work may be performed on‑site, hybrid, full‑time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here). Seeking additional information about working at Berkeley Lab? Please visit careers.lbl.gov. Equal Employment Opportunity The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti‑discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. J-18808-Ljbffr

Labor Relations Manager (Seattle)

Job Description - Labor Relations Manager (003208) Location Downtown Seattle Organization Labor Relations Employee Status Regular Schedule Full-time Posting Expires Mar 14, 2025, 6:59:00 AM Minimum Salary 138,518.00 Maximum Salary 187,408.00 Salary offers will be made within the posted range. Placement within the range will be determined based on your similar work experience. The Port considers work experience to be similar if the scope and level of responsibility of your prior positions match the job being offered. Some of what you'll be doing: You will manage the frequent policy changes impacting represented employees from the development to the implementation stages using complex, defensible, bargaining strategy in accordance with the Port's obligations under RCW 41.56 and RCW 53.18. You will negotiate collective bargaining agreements (CBA) in alignment with the Port's objectives and its obligations as a public employer. You will facilitate and/or conduct defensible investigations into work performance and/or behavioral related issues of represented employees in alignment with the terms of their respective CBA and other Port policies. You will represent the Port in grievance hearings, arbitrations, unfair labor practices, unit clarification proceedings, and representation hearings and challenges. You will research and analyze changes and/or trends in public sector labor relations practices, laws, rules, regulations, and decisions. You will draft, negotiate, and implement agreements including but not limited to Memorandum of Understanding (MOU), Memorandum of Agreement (MOA), and settlement agreements. You will provide training and guidance to managers and supervisors in supporting the consistent application and interpretation of collective bargaining agreements, policies, procedures, rules, and regulations. You will draft and manage consistent, timely, professional communications with union representatives, shop stewards, business line leadership and senior Port leadership to foster the cooperation and trust between the Port, unions, and the Port's represented employees. Who you are: Experienced – You have six (6) years of labor relations experience including management consultation, labor agreement administration and implementation, and experience as a chief spokesperson/negotiator. Desired – We hope you have a Bachelor’s Degree in Human Resources or Labor Relations. We also hope you have a Society for Human Resource Management (SHRM) certification or a Certified Labor Relations Professional (CLRP) certification. Committed to Equity – You will apply equity and exemplify shared values, behaviors, and practices in all aspects of the work. At the Port of Seattle, equity is a daily responsibility and a foundational expectation for all Port employees. Excellent Communicator – You have excellent written, verbal, and non-verbal communication skills and the ability to clearly, accurately, and persuasively present proposals and explain complex matters. Problem Solver – You have strong analytical skills, critical thinking, and excellent problem-solving skills with the ability to foresee potential obstacles and proactively identify solutions and resolve issues. Interpersonal – You have excellent interpersonal skills including the ability to develop relationships with union representatives, managers, employees, and colleagues. Negotiator – You have strong negotiation and conflict resolution skills. You can handle extremely difficult or volatile situations/individuals effectively, and work with high conflict situations where employees and/or representatives are exhibiting strong emotions and verbiage. What else you need to know: Work Schedule – Your normal work schedule will be Monday – Friday, 8:00 a.m. to 5:00 p.m. (40 hours per week). Slightly more flexible start and end times are available in this role. You may be required to respond during off shift hours to address any issues that could adversely impact Port operations. Work Environment - This work will take place primarily in an office setting at Management’s discretion. Washington State Residency Requirement – Employees must establish a residence in Washington state within 30 days of their first day of employment and must maintain a residence in Washington State during their employment with the Port of Seattle. If a position is eligible to telework, work performed while teleworking must be performed in Washington State. Why you'll love it here: The Port of Seattle offers an extensive benefits package that rewards our staff for their valuable contributions towards the Port‘s mission. In addition to the summary below, benefit details for non-represented positions can be found on the Port of Seattle‘s website. If the position is represented by a union, please refer to the “Collective Bargaining Agreement” or contact the appropriate Union Representative for specific information related to benefits and eligibility. Healthcare – Medical, Dental, and Vision Care with options that work for you and your family. Paid Vacation – Just about four weeks per year that increases with tenure to rest and rejuvenate. Paid Sick Leave – At least one hour of sick leave for every 40 hours worked. Holidays – More than ten days per year to celebrate with family and friends away from work. Pension/Retirement Plans – A pension and additional savings plans to prepare for your future after the Port. Getting to Work – From subsidized parking and a low-cost public transit card to alternative work arrangements giving you an opportunity to work hybrid. Parental Leave – Six weeks of paid leave to spend with new additions to your immediate family. Development – From tuition reimbursement, training, stretch assignments and internal internships, we support a learning culture. Equity, Diversity, and Inclusion – The Port of Seattle values diversity as a source of innovation and strength. We are actively working across the organization to create a culture where all employees – regardless of race, gender, and other identities – succeed and reach their fullest potential. Work-Life Balance – We provide the resources to help you create habits to be healthy and balanced. Mission Driven – We are focused together in promoting economic opportunities and quality of life in the region by advancing trade, travel, commerce, and job creation in an equitable, accountable, and environmentally responsible manner. Why the Port of Seattle: Every role at the Port of Seattle is vital to our thriving community. We are a leader in moving people and cargo across the country and around the world. With facilities and property ranging in scope from a half-acre park to one of the largest airports and container terminals on the West Coast, we maximize the public assets in our portfolio with an eye toward best uses and environmental sustainability. Find out more here. Our vision is to create a Port that mirrors – throughout its breadth of operations and services and within its leadership – the diversity of our communities, instill principles of equity into its culture, and ensures a fair and intentional distribution of opportunities to expand economic develop and quality of life for all in our region. Find out more about how our values RAISE us up and our commitment to equity. The Port of Seattle is an equal opportunity and affirmative action employer that values diverse perspectives and life experiences. We encourage people of all backgrounds to apply, knowing decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law, regulations and ordinances. J-18808-Ljbffr

Consulting Principal, AI Architect (City of Albany)

About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000 experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you? About the role As an Consulting Principal for AI & GenAI Platforms , you will make an impact by leading client-facing AI transformation initiatives focused on generative AI, retrieval-augmented generation (RAG), and advanced data and AI platform solutions within highly regulated environments. You will be a valued member of Cognizant Consulting’s AI and Data practice and work collaboratively with clients, consulting leaders, architects, and delivery teams to design and deliver scalable, production-grade AI solutions. In this role, you will: Lead the design and delivery of generative AI and agent-enabled solutions, including context engineering, RAG pipelines, and AI platform architectures for enterprise clients. Partner with client stakeholders to translate business objectives into actionable AI use cases, solution roadmaps, and measurable outcomes. Guide end-to-end solution delivery from discovery through implementation, ensuring AI systems are secure, compliant, and fit for regulated environments. Collaborate with cross‑functional consulting and engineering teams to integrate AI solutions with enterprise data platforms, cloud infrastructure, and core systems. Support business development activities by contributing to proposals, solutioning, statements of work, and client presentations related to AI and GenAI engagements. Work model We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States . Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 12 years of experience across consulting, digital transformation, data engineering, or AI/analytics, with demonstrated experience delivering client‑facing consulting engagements. Hands‑on experience designing and delivering generative AI solutions, including RAG architectures, vector databases, and modern AI platforms. Strong knowledge of cloud platforms (AWS, Azure, or GCP) and enterprise data platforms such as Snowflake, Databricks, or Microsoft Fabric. Proven ability to work directly with client stakeholders to define requirements, manage solution delivery, and communicate complex technical concepts clearly. Experience operating within regulated industries such as financial services, healthcare, or insurance. These will help you succeed Familiarity with AI governance, evaluation frameworks, and responsible AI practices, including model risk, bias, and explainability considerations. Experience contributing to consulting proposals, solution architectures, and go‑to‑market initiatives. Exposure to MLOps or LLMOps practices, including CI/CD, monitoring, and model lifecycle management. Strong collaboration skills and the ability to mentor junior consultants or technical team members. Excellent communication and presentation skills, with the ability to engage both technical and non‑technical audiences. We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Compensation The annual base salary for this position is between $122,400 – $194,000 , depending on experience and qualifications. This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits Medical, dental, vision, and life insurance 401(k) plan and contributions Employee stock purchase plan Employee assistance program Paid holidays plus paid time off (PTO) Paid parental leave and fertility assistance Learning and development programs and certifications Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. J-18808-Ljbffr

Cellular System Engineer (San Diego)

Do you have a passion for building innovative HW/SW for controlling modern RF transceivers? Do you enjoy hands‑on, cradle‑to‑grave experience for building innovative cellular SoCs? In this role, you will have the opportunity to engage in architecture stages, and work with various teams to design, implement, verify, validate, bring‑up, and productize sophisticated transceiver architectures. Join us and help to innovate new wireless systems technologies that continually outperform the expectations! By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world! Description As a Cellular System Engineer, you will be responsible for the pre‑ and post‑silicon bring up, and validation of end‑to‑end cellular systems. You will understand and map systems algorithms and requirements to HW/FW architecture, simulation and emulation based validation of the control flows and algorithms. Responsibilities This position requires strong collaboration with SoC, PHY, RF HW, RF FW, and SW teams to ensure the end‑to‑end system requirements are met. You will also have a critical hands‑on role in pre‑ and post‑silicon verification, validation, and bring‑up of silicon, to support productization. Minimum Qualifications BS and 3 years of relevant industry experience. Good understanding of communication theory and signal processing, AGC, beamforming, Tx power control, mitigation of radio impairments, and calibration algorithms. Good experience with Matlab, Python, and C/C++ and efficient analysis and automation scripting. Excellent communication skills, both written & verbal especially in a multi‑functional environment. Demonstrate clarity of thought and strong analytical and problem‑solving skills. Preferred Qualifications MSEE or beyond is preferred. Experience in the design and bringup of wireless communication systems with expertise in cellular systems preferred. Strong technical background in 5G‑NR/LTE/UMTS (3G/2G) physical layer and protocols. Hands‑on experience in applying AI/ML techniques on real‑world data sets to tackle sophisticated engineering problems. Experience with silicon prototyping, emulation systems, and virtual platforms is a plus. Hands‑on experience in the bring up of real silicon in the lab. Ability to efficiently use lab equipment (such as spectrum analyzer, signal generator, power meter, etc). At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. J-18808-Ljbffr