gpu Jobs in san francisco, ca

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Internship, Software Engineer, Autonomy Systems Foundations (Fall 2025)

Tesla Motors

Palo Alto, California, USA

Full-time

Consider before submitting an application: This position is expected to start around August or September 2025 and continue through the Fall term (ending approximately December 2025) or continuing into Winter/Spring 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. entry level candidates seeking employment after graduation a

Senior Performance Engineer

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Senior Systems Software Engineer, Containers and Kubernetes

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have strong programming skills, a deep understanding of designing and building software, especially related to GO and C, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while stron

Distinguished Engineer - Data Center System Software Architect

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We're looking for a strong technical architect to own the end-to-end architecture of these products, at the system software level. Including firmware, kernel drivers, operating syst

Senior Systems Software Security Engineer - Factory and Security Provisioning

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

NVIDIA is seeking a highly motivated and experienced Senior Systems Software Security Engineer to join our Data Center Systems team. This role focuses on factory and security provisioning for devices used in NVIDIA data center systems. The ideal candidate will have a deep understanding of One-Time Programmable (OTP) memory, security controls, and end-to-end factory provisioning processes. What you'll be doing: Lead the factory provisioning process for NVIDIA data center systems, ensuring that d

Computer Scientist

Software Guidance & Assistance

San Francisco, California, USA

Contract

Software Guidance & Assistance, Inc., (SGA), is searching for a Computer Scientist for a contract assignment with one of our premier SaaS clients. This role is hybrid in San Jose or San Francisco, CA . We're looking for an experienced Backend Engineer to join the team as a Computer Scientist (Level 3/4) and spearhead the development of a next-generation agentic automation framework. This framework will ingest a conversation (via NLP/LLMs) where strategies and tactics are agreed upon, and

Senior Deep Learning Algorithm Engineer

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

We are now looking for a Senior DL Algorithms Engineer! We are seeking a highly skilled Deep Learning Algorithms Engineer with hands-on experience optimizing and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs) in production environments. In this role, you will focus on optimizing and deploying deep learning models for efficient and fast inference across diverse GPU platforms. You will collaborate with research scientists, software engineers, and hardware specialists to b

Senior DL Algorithms Engineer - Inference Performance

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

We are now looking for a Senior DL Algorithms Engineer! NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning workloads. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-gr

Compiler Engineering Intern/Co-Op (Graduate | Fall 2025 | Hybrid)

AMD (Advanced Micro Devices)

Remote or San Jose, California, USA

Full-time

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellen

Senior Intellectual Property Security Engineer

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by seeking new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human cre

Senior ASIC Verification Engineer, Coherent High Speed Interconnect

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

We are now looking for a Senior ASIC Verification Engineer for our Coherent High Speed Interconnect team! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing mod

AI Research Engineer, VLM, Autonomy & Robotics

Tesla Motors

Palo Alto, California, USA

Full-time

State-of-the-art Vision Language Models (VLMs) have advanced rapidly, yet they still struggle with physical reasoning and real-world understanding-often due to a "text first, vision second" training paradigm and insufficient large-scale, diverse, real-world datasets. By leveraging Tesla's extensive global vehicle fleet and our rapidly growing humanoid robot platforms, we aim to reshape how VLMs perceive and interpret the physical world. In this role, you'll have access to unparalleled compute re

Senior Software Engineer - AI Infrastructure and Tooling

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

We are looking for a highly motivated AI infrastructure automation and tools development expert to join us. As a seasoned professional with a strong passion for designing and implementing cutting-edge infrastructure solutions, you will play a key role in architecting and driving advancements in our large-scale cloud and on-premise computing clusters. We are a small and fast moving team, and we own production excellence of everything we develop, on all layers from OS and up to the services. Pleas

AI/ML Developer

Micro Data Systems Inc

Remote

Full-time

NO C2C OR THIRD PARTY INQUIRIES What You ll Be Doing: Work with your fellow sharks to design, develop, and optimize the next generation of GPU infrastructure Work with customers and stakeholders to define and refine infrastructure requirements needed to support their AI/ML workload Work with infrastructure technical leaders to define infrastructure requirements to store, move, and manipulate large datasets Guide performance teams on industry standard testing methodologies and help optimize for G

Senior Circuit Methodology Engineer

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

We are now looking for a Senior Circuit Methodology Engineer! Join NVIDIA's diverse team of innovators shaping the future of technology. From revolutionizing gaming and graphics with our GPU invention to pioneering AI through deep learning, we're constantly evolving to tackle global challenges. At NVIDIA, your unique perspective can contribute to our mission of amplifying human potential. Whether you're an experienced professional or a recent graduate, there's a place for you in our inclusive en

Staff Software Engineer, ML Training and Inference Infrastructure

Rivian

Palo Alto, California, USA

Full-time

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it

Internship, Fullstack Software Engineer, Machine Learning Platform, AI Infrastructure (Fall 2025)

Tesla Motors

Palo Alto, California, USA

Full-time

Consider before submitting an application: This position is expected to start around August or September 2025 and continue through the Fall term (ending approximately December 2025) or continuing into Winter/Spring 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. entry level candidates seeking employment after graduation a

AI System Research and Development Engineer - Optimization

Snowflake Inc.

Menlo Park, California, USA

Full-time

Build the future of the AI Data Cloud. Join the Snowflake team. We are looking for talented System Developers and Researchers to join the Snowflake AI Research team and contribute to LLM inference and training system development, optimizations, and agentic systems. Our mission is to build the most efficient and scalable generative AI systems. Recent releases from our team include SwiftKV, an advanced inference optimization, and Arctic LLM, one of the largest open-source MoE foundation models.

Senior Software Architect, AI Networking

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. We're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVI

Software Engineer, Training Performance, AI Infrastructure

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within the Autopilot AI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components supporting AI research activities for Autopilot and the Optimus. At the core of our autonomy capabilities are neural networks that the research team is designing to train on very large amounts of data, across large-scale GPU clusters and our supercomputer Dojo. Robustly training these models at scale and in the shortest amount of time is critical