Senior Research Scientist, System Software and I/O Architecture (Seattle)

Senior Research Scientist, System Software and I/O Architecture page is loaded Senior Research Scientist, System Software and I/O Architecturelocations: US, CA, Santa Clara: US, IL, Champaign: US, WA, Seattletime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR2009432We are now looking for a Research Scientist with a focus in System Software and I/O!NVIDIA is seeking Research Scientists with a focus in System Software and System I/O Architecture to contribute to the development of future fast, scalable storage accesses by GPU threads. Scalable systems in a post-Moore world require co-optimization of architecture, runtime systems, operating systems, and compilers, to achieve high throughput while improving energy efficiency. We are seeking candidates with a proven track record of research excellence, systems-building experience, a broad perspective across the field of system software, depth in I/O system software, I/O systems architectures, deep knowledge in GPU architecture, proficiency in CUDA programming, programming large-scale clusters, and experience in profiling and system performance analysis tools. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and AI computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifaceted, technology-focused company. What you'll be doing: * Develop novel architectures and system software implementations to enable scalable multi-GPU platforms.* Understand and analyze the interplay between operating systems, CPU and GPU architectures, and efficient algorithm designs.* Collaborate with a diverse set of teams across the company, spanning software research, hardware engineering, and product groups.* Publish original research and speak at conferences and events. What we need to see: * A Ph.D. in CE/CS/EE or equivalent experience with a strong background* 5 years of research work experience in computer architecture, operating systems, system administration, compilers, and/or HPC. A strong publication, patent, presentation, and research collaboration history is a huge advantage.* Demonstrated expertise in one specific area of the above topics with the ability to become the go-to resource within a team from differing backgrounds.* Experience with experimental computer architecture research, software infrastructure development and evaluation.* A track record of well-documented open-source software release.* Experience with C, C++, CUDA, Python, and scripting languages. MPI and NACL would be a plus.* Strong interpersonal skills are needed and being a creative and dynamic presenter is a huge advantage.* Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and collaborative researcher, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and .Applications for this job will be accepted at least until December 9, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. J-18808-Ljbffr

Senior Lead Software Engineer, Full Stack (Cloud Operations Resilience Engineering) (McLean)

Overview Senior Lead Software Engineer, Full Stack (Cloud Operations Resilience Engineering) Capital One seeks Senior Lead Software Engineers who are passionate about marrying data with emerging technologies and solving complex business problems in a fast-paced, collaborative, and iterative delivery environment. You will be part of the Cloud Operations Resilience Engineering (CORE) Technology division, which enables Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience, and availability, and you will have the opportunity to be on the forefront of driving a major transformation within Capital One. The role focuses on leading a portfolio of diverse technology projects and mentoring a team of developers with experience in distributed microservices and full-stack systems to create solutions that meet regulatory needs. Responsibilities Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems to create solutions that help meet regulatory needs for the company. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and external technology communities, mentoring other members of the engineering community, and, from time to time, code or evaluate code. Collaborate with digital product managers to deliver robust cloud-based solutions that drive powerful experiences for millions of Americans to achieve financial empowerment. Utilize programming languages and technologies including JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go; Open Source RDBMS and NoSQL databases; container orchestration with Docker and Kubernetes; and a variety of AWS tools and services. Basic Qualifications Bachelor’s Degree At least 6 years of experience in software engineering (internship experience does not apply) At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Master’s Degree 9 years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 4 years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4 years of experience in open source frameworks 1 years of people management experience 2 years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Compensation and Benefits The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are intended for candidates hired to work in the specified locations and may vary by location. Part-time roles will be prorated. Location-specific ranges include: McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual salary offered will be reflected in the offer letter. This role is eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits. Learn more at the Capital One Careers website. Eligibility varies based on full- or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws and regulations regarding criminal background inquiries. If you require an accommodation during the recruitment process, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information provided will be kept confidential and used only to the extent required to provide reasonable accommodations. For technical support or questions about Capital One's recruiting process, please email [email protected]. Capital One does not provide, endorse, guarantee, or take responsibility for third-party products, services, or information available through this site. Capital One Financial is made up of several different entities; postings in Canada, the United Kingdom, or the Philippines correspond to Capital One local entities. All information you provide will be kept confidential and used only to provide needed accommodations. J-18808-Ljbffr

Software Engineer, AI Platforms (San Francisco)

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Our AI Platform teams build the core frameworks and systems that support AI features across Figma, ranging from infrastructure for training cutting-edge models to platforms for developing agentic product functionality. We’re looking for engineers with a background in platform engineering or machine learning to strengthen our foundational AI systems and frameworks. As a member of our AI Platform teams, you’ll play a critical role in developing cutting-edge AI models and new product functionality, while improving the technical quality, performance, and reliability of our AI features. You’ll work alongside developers across the company and combine industry best practices with a first-principle approach to design and build the platforms that power Figma’s design and collaboration products. We’re hiring across several teams: Modeling Platform: The Modeling Platform team develops infrastructure for training, evaluating, deploying, and serving the AI models used across Figma. Engineers on this team partner with our AI Research team to accelerate the end-to-end model development lifecycle, from experimentation to production. Agent Platform: The Agent Platform team builds the frameworks and systems powering agentic AI features throughout Figma’s products. Engineers on this team partner with our product and infrastructure teams to unlock new AI capabilities, improve the development velocity of AI engineers, and ensure all of our AI features are reliable, performant, and high-quality. Extensibility: The Extensibility team is responsible for our plugin, widget, and REST APIs that enable developers to build their own Figma integrations. Engineers on this team also partner with our product teams to develop our recently-launched MCP offerings and server platforms that integrate Figma into the wider AI ecosystem. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant Collaborate with product, research, and infrastructure engineers across AI initiatives Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization Debug and resolve complex production issues that span services and layers of the stack Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence We\'d love to hear from you if you have: 5 years of software engineering experience, especially in backend or infrastructure engineering 3 years of experience in one or more of: AI, search infrastructure, or developer platforms Proficiency with TypeScript, Python, or Ruby Strong system-design skills and a track record of architecting resilient production systems Excellent communication skills, with experience collaborating across teams and mentoring others While not required, It\’s an added plus if you also have: Prior experience building AI infrastructure at scale, whether for model training or serving platforms Experience improving large-scale, shared developer platforms to enhance reliability and developer velocity A proven track record of leading technical strategy and delivering complex, multi-team projects At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to [email protected] . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Create a Job Alert Interested in building your career at Figma? Get future opportunities sent straight to your email. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Country * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Other Website Why do you want to join Figma? * Please share 3-4 sentences on why you want to join Figma Pronouns Select If you'd like to, please let us know your pronouns. Additional Information Add a cover letter or anything else you'd like to share From where do you intend to work? * Please list city and state. (ie: San Francisco, CA) Preferred First Name Are you authorized to work in the country for which you applied? * Select Have you ever worked for Figma before, as an employee or a contractor/consultant? * Select Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Figma’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A disabled veteran is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be ent

AI Engineering Manager (San Francisco)

This range is provided by Primis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $245,000.00/yr - $275,000.00/yr AI Engineering Team Lead Hybrid Our client, a Series A startup in the therapeutic development space, is building the AI workbench for the entire drug development lifecycle. Their platform streamlines regulatory workflows end-to-end by intelligently and creatively infusing every step with AI, helping bring new treatments to patients faster and more safely. They’re looking for an AI Engineering Manager to manage and scale a growing team of AI Engineers. This person will drive architectural direction and roadmap execution while staying hands‑on and deeply technical. What you’ll do: Lead and grow a team of 3 AI Engineers Set and maintain high engineering and quality standards Oversee AI architecture and long‑term technical initiatives Hire, mentor, and develop engineers Partner cross‑functionally with Product and Leadership Stay hands‑on through code reviews, bug fixes, and technical discussions Ideal background: Early‑stage startup experience ( Strong background building production software with LLMs in the loop Track record designing and implementing scalable AI systems Experience managing and mentoring technical teams Data‑first mindset; experience in regulated domains is a plus $245k-275k Equity Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs. Seniority level Mid‑Senior level Employment type Full‑time Job function Staffing and Recruiting J-18808-Ljbffr

Founding Product Engineer (San Francisco)

At HumanLayer, we’re on a mission to change how teams build software with AI. If we had a motto it would be “no vibes allowed” - we believe that AI agent-enabled coding is a deeply technical engineering craft , and we’re building CodeLayer to unlock it at scale. A Stanford study from June 2025 said AI can’t solve hard problems or work well in complex or legacy codebases, and we’re proving them wrong with advanced techniques inspired by Context Engineering (a term originally coined by our CEO Dex in April 2025). Learn more about our mission and learnings at https://hlyr.dev/ace-fca Our product is an Agentic IDE built on claude code that helps CTOs and VPEs drive the transition to 99% AI-written code in their engineering orgs. Our MRR grew 100% last month, and we’re bringing on a founding engineer who loves to ship like crazy and get in the weeds with customers to solve big problems in AI Developer Productivity. You… Work across the entire stack - frontend apps, backend services, native executables, infrastructure, CI Have deep experience building in the Typescript ecosystem. We use it across the entire stack - frontend, backend, native executables, infrastructure-as-code. Ship like an engineer, think like a product owner. You have deep empathy for users and are dedicated to creating a world‑class user experience. Strong in CS fundamentals - operating systems, networking, data structures. You’re a 99th‑percentile Claude Code or Codex user You know Postgres/MySQL like the back of your hand Love working with customers to solve their problems. Expect to be forward‑deployed to help onboard new customers. Enjoy hotkeymaxxing - vim, superhuman, RTS games, etc. Are familiar with auth’n/z - OAuth 2.0, etc. Are located in SF or willing to relocate (we’ll cover reasonable relocation costs!) We: Work 70 hours/week in‑person in SF (Marina/Russian Hill) Are growing rapidly and onboarding design partners. We grew 100% last month and expect to do it again. Have raised > 3M from YC, Pioneer Fund, and angels including Guillermo Rauch, Paul Klein, and . Believe you should make it run, make it right, make it fast. Our 1 goal is deliver value for developers. Refactor after patterns emerge J-18808-Ljbffr