Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design and build agentic workflows that automate code generation, testing, and tuning across NVIDIA frameworks and compilers. Partner with internal engineering teams to identify high-impact automation, iterate on proofs of concept, integrate agents into git-native CI pipelines, and enable closed-loop validation on real GPUs. Contribute to multi-agent orchestration, performance optimization, and reusable internal tooling to scale agentic engineering practices.

Design, deploy, and operate Kubernetes-based large-scale storage and data platforms. Build automation, tooling, telemetry, and observability. Troubleshoot distributed systems, support CI/CD and IaC, participate in on-call rotations, capacity planning, and launch readiness.

The role involves applying machine learning techniques to circuit design, analyzing datasets, building and optimizing models, and collaborating with teams on various projects in VLSI and circuit design.

Lead technical engagement for AI training and infrastructure at scale. Collaborate with engineering teams and customers to ensure successful deployment and optimization of AI/ML solutions.

Analyze and run HPC applications to improve performance, assist in GPU acceleration, advise engineering teams on optimization opportunities.

Design, build, and operationalize large-scale AI and HPC hybrid compute solutions for partners. Guide adoption of NVIDIA compute, networking, and software stacks, deliver demos and POCs, troubleshoot cluster, network, and storage issues, and collaborate with engineering and executives to deploy AI factories at scale.

The role involves designing and implementing post-training algorithms for LLMs and DLMs, improving training pipelines, collaborating with researchers, and demonstrating engineering practices.

Design and verify mixed-signal layouts in sub-micron CMOS technologies, collaborating with ASIC engineers to ensure integration in VLSI products.

The role focuses on developing and maintaining continuous integration systems for NVIDIA's AI software ecosystem, ensuring optimal performance and quality of software stacks.

As a Principal Software Development Engineer, you will architect and optimize SSD platforms, lead system integration, and influence industry trends.