AI Engineering Jobs in San Francisco

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group, focusing on learning embodied skills from large-scale human data. The objective is to develop AI systems that can capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. This research spans the full stack, from reconstructing human motion and interactions from video to generating controllable character behaviors, transferring motion across embodiments, and training grounded controllers for robots and virtual characters. Interns will collaborate with a supportive research team producing influential work and have opportunities to connect with product teams across NVIDIA.

$0k - $0k

GM R&D is seeking an outstanding early-career intern to contribute to advanced work in Artificial Intelligence, Machine Learning, and Large Language Models. This role is designed for a Ph.D. student who brings strong depth in one or more advanced AI areas and the ability to work across disciplines. The intern will conduct original research, develop proof-of-concepts, evaluate them on meaningful engineering or scientific problems, communicate findings clearly, and collaborate with senior researchers and engineering partners to move promising ideas toward impact. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents, or related areas, emphasizing research depth, originality, experimental rigor, and growth toward independent technical leadership.

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Databricks

Databricks is seeking a Staff Engineer for AI Search to play a critical role in building and scaling their next-generation Search product, encompassing Vector Search, Keyword Search, and Search Quality. The role involves driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, the engineer will help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts to expand the technical and business impact of Search at Databricks.

$166k - $225k

NVIDIA Research's Human Performance and Experience (HPX) team is seeking passionate individuals for a PhD Research Intern position focused on cross-disciplinary vision science between humans and machines. This role involves collaborating with research scientists, engineers, and product engineers to address real-world problems at the intersection of computer vision, human vision science, and robotic vision. The internship offers an opportunity to contribute to AI innovation and shape the future of human-AI interaction.

$0k - $0k

Databricks

Databricks' Model Serving product offers enterprises a unified, scalable, and governed platform for deploying and managing AI/ML models, including traditional ML and large language models. It provides real-time, low-latency inference, governance, monitoring, and lineage, making it a core pillar for customers operationalizing models at scale with strong SLAs and cost efficiency. As a Senior Engineer, you will be instrumental in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build high-throughput, low-latency inference systems for CPU and GPU workloads, influence architectural direction, and collaborate with cross-functional teams to deliver a world-class serving platform.

$166k - $225k

NVIDIA's Architecture Research Group is seeking a PhD intern to contribute to defining the future of GPU and data-center computing. This role involves exploring foundational research questions in areas such as GPU microarchitecture, memory systems, large-scale data-center hardware, and emerging accelerators, with a focus on the architectural implications of AI and scientific computing workloads. The intern will apply knowledge of computer architecture, parallel computing, compilers, and runtime systems to identify and develop new hardware and hardware-software co-design opportunities, working alongside researchers and product architects to formulate research questions, evaluate concepts, and build necessary models and simulators.

$0k - $0k

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for their 2027 Autonomous Vehicles and Robotics internships. This 12-week full-time program offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading teams. Interns will work on projects with a measurable business impact, contributing to NVIDIA's pioneering work in AI and digital twins that is transforming major industries.

$0k - $0k

NVIDIA is seeking ambitious and creative individuals for its Spring 2027 Developer and Performance Technology internships. These 8-12 month full-time internships offer a unique opportunity to gain hands-on experience with industry-leading Deep Learning teams, working on projects that have a measurable impact on NVIDIA's business. Interns will tackle complex challenges in areas such as AI, digital twins, gaming, robotics, self-driving cars, and virtual worlds. The program is designed for students pursuing a B.S. or M.S. degree in a relevant field, providing a chance to expand their careers and contribute to transformative technologies.

$0k - $0k

NVIDIA is seeking strategic, ambitious, hard-working, collaborative, and creative Ph.D. Engineering interns to join their Computer Architecture and Systems teams for Summer 2027. This internship offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading technologies. Interns will design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems, with the potential to transfer their research to product groups, resulting in prototypes, patents, products, or published research.

$0k - $0k

NVIDIA is seeking interns to research scalable differentiable algorithms, including adjoint and automatic differentiation methods. This role will involve connecting simulations with experimental data for calibration and data assimilation using AI/ML techniques. The work will be evaluated on simulation workloads and assessed for integration into NVIDIA software. This internship is ideal for individuals passionate about mathematics, code, hardware, and engineering applications.

$0k - $0k

We are seeking an exceptional hands-on engineer to help our partners and customers make demanding physics and robotics simulation workloads run exceptionally well on NVIDIA platforms. You will work at the intersection of algorithms, mathematics, GPU architecture, and production software to find the true limits of real applications and turn that understanding into durable code and actionable feedback for NVIDIA engineering teams. This role is for someone with a recognizable technical body of work: not someone who merely used advanced systems, but someone who took stewardship of one and made it substantially better.

$224k - $431k

Simple AI

Simple AI is seeking founding software engineers to build the core systems behind their state-of-the-art voice AI agents for enterprise clients. This high-ownership role involves working across product to enhance agent speed, reliability, and capabilities in production environments. You will ship customer-facing features, optimize latency and reliability, develop internal tools, troubleshoot complex issues, and scale the platform to meet growing customer demand. Engineers collaborate closely with product and customers, requiring a fast-paced approach, ownership of system components, and a drive to build technology that directly impacts business revenue.

$130k - $280k

Mem0 is building the memory layer for AI agents, enabling them to remember conversations, learn from interactions, and build context over time. We are a Y Combinator-backed company with significant funding, powering millions of AI interactions for enterprise customers and an open-source community. This full-time, onsite role in San Francisco, CA, offers a unique opportunity to own the AI product surface of the Mem0 Platform. You will be responsible for the end-to-end frontend development, setting the visual and interaction standards for our dashboard, playground, and documentation. Working directly with the CTO, research, and customers, you will translate complex memory problems into intuitive user interfaces, shipping AI products to real users.

$150k - $250k

Simple AI

Simple AI is seeking an AI Agent Engineer to join their growing team and help build state-of-the-art voice AI agents for enterprise clients. This role involves working directly with customers to transform Simple's voice AI platform into production-ready agents tailored to each business's unique needs. You will engage in both pre-sales and post-sales activities, including creating custom demos, understanding customer workflows, deploying agents, debugging complex issues, enhancing performance, and translating customer feedback into product enhancements. This is a highly technical and customer-facing position for individuals who enjoy coding, interacting with clients, working at a fast pace, and seeing the direct business impact of their work.

$120k - $200k

Physical Intelligence

Physical Intelligence is building a platform to bring general-purpose AI into the physical world, powering robots with foundation models and learning algorithms. As an API Product Engineer, you will develop the core product surface that enables external companies to utilize Pi's models similarly to how they use LLM APIs today. This involves allowing them to bring their own data, fine-tune models, evaluate performance, and run low-latency inference within their own environments. You will own this entire experience, transforming close-knit collaborations into a scalable platform designed to support a vast number of robots.

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Moveworks is seeking a Senior Staff Software Engineer to join our Agentic AI Harness & Quality team. This role is for experienced software engineers looking to apply their skills at the forefront of AI agents. You will play a crucial part in advancing the capabilities and reliability of AI agents for enterprise use at scale. You'll contribute to the evolution of our AI Assistant platform, focusing on areas like agent orchestration, secure code execution, performance optimization, agent memory, LLM self-reflection, and knowledge graphs. You will leverage modern enterprise AI tools, including leading LLMs, and work within a team that prioritizes rapid development, scalable infrastructure, and pushing the boundaries of AI value for customers.

Salary not listed

OpenAI

API Agents is building the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems capable of reliably completing real work. This role focuses on building the core systems behind the next generation of agents, designing reliable services and abstractions that help agents find context, use tools, retain knowledge, coordinate workflows, and take action safely. The position combines deep backend and infrastructure work with strong product judgment, offering opportunities to work across agent runtimes, orchestration, search, execution environments, identity, observability, and evaluations. Success in this role hinges on strong backend fundamentals, high agency, and the ability to translate fast-moving research into dependable production primitives.

$266k - $445k

Handshake is seeking a Member of Technical Staff to define how frontier coding agents are benchmarked and improved. This is a high-ownership role for researchers who build, partnering with top AI researchers and software engineers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques focused on AI for Coding. You will tackle core questions in frontier AI progress, including what to measure, how to design effective evaluations, create high-signal feedback, and build actionable data systems. As an early member, you will have significant influence over the team's technical direction, operating culture, and the open-source software, benchmarks, and research products developed.

$200k - $350k

Anthropic

Anthropic is seeking a Manager of Applied AI Engineering to lead a team of technical engineers embedded with their largest and most strategic accounts. These partner-customers are key revenue drivers and distribution channels, utilizing Claude to transform their businesses. The team will work hands-on with these organizations, co-designing technical solutions, advising on architecture, developing evaluation frameworks, and guiding advanced implementation patterns for LLMs. The manager will be responsible for hiring, coaching, and growing the team while maintaining technical oversight and setting high engineering standards. This role involves close collaboration with various internal teams and external stakeholders to drive technical impact and shape Anthropic's product and research roadmap.

$320k - $405k

Cursor

SpaceXAI is building Super Intelligence to help humanity understand the universe. As a Product Engineer on the Grok Connectors team, you will build integrations that enable Grok, Cursor, and Grok Bot to perform real-world actions within commonly used tools such as Gmail, Outlook, Google Calendar, Microsoft Teams, GitHub, and Slack. You will be responsible for the end-to-end development of features, including OAuth sign-in, token management, tool schema design, ensuring reliability across millions of tool calls, and developing user interfaces for web, desktop, and mobile platforms. This role involves direct collaboration with enterprise customers and partners to deliver trustworthy connectors for large organizations.

Salary not listed

Cognition

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises world-class talent from leading AI companies. We are seeking a founding member for our safety team to tackle critical challenges in AI safety and alignment. This role is hands-on, focusing on ensuring our AI agents behave correctly and safely in real-world applications, rather than solely in research benchmarks. You will play a pivotal role in shaping the safety and alignment of our AI systems.

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As an Embodied AI Data Scaling Intern, you will contribute to a well-defined project aimed at enhancing the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to develop data pipelines, analyze extensive datasets, refine training workflows, or create infrastructure that boosts the number and quality of experiments the team can conduct. Potential focus areas include data curation and quality, data mining and scenario discovery, dataset and labeling pipelines, distributed training and model scaling, and ML experimentation and flywheel infrastructure.

$142k - $175k

Capital One is building responsible and reliable AI systems to transform banking. We leverage machine learning for personalized customer experiences and are investing in technology and talent to lead in enterprise AI adoption. Our AI applications bring humanity and simplicity to banking, from fraud detection to real-time customer support. We are committed to building world-class applied science and engineering teams to deliver breakthrough products and scalable AI infrastructure. The Intelligent Foundations and Experiences (IFX) team is central to this vision, advancing AI science and engineering and deploying proprietary solutions that deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance products responsibly and at scale.

$197k - $225k

NVIDIA is seeking a Senior Synthetic Data Engineer to join the DRIVE team and contribute to automotive innovation. This role involves collaborating with technical leaders in autonomous driving and simulation to design and develop a simulation environment that advances autonomous vehicle technology. The position focuses on creating synthetic data crucial for training deep learning models used in autonomous driving systems, enhancing the reliability and speed of vehicle development through advanced simulation techniques.

$184k - $357k