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

Design and build scalable software for NVIDIA’s multi-tenant cloud infrastructure, including network and systems automation, hardware and network provisioning, APIs, testing, deployment, and production services. Collaborate with engineers, architects, product managers, internal partners, and leadership to deliver robust distributed systems and contribute to open-source communities.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

Design and implement high-performance, low-power CPU subsystems. Define microarchitecture, develop RTL, optimize logic for performance, timing, and power, and deliver synthesis- and timing-clean designs. Collaborate with verification and physical design teams on floor planning, power and clock distribution, timing closure, noise analysis, chip assembly, and back-end verification. Develop supporting design flows and tools as needed.

Leads architecture for cloud networking, security, DPU, and NIC solutions. Designs end-to-end systems spanning applications and hardware, researches technologies, develops proof-of-concept prototypes, writes architecture specifications, and collaborates with global software, hardware, product, engineering, and customer teams. Requires strong C, Python, Linux, networking, cloud, system architecture, and software development experience, with DPDK, OVS, OVN, container, Kubernetes, and data center expertise preferred.

Manage a team developing accelerated image and data compression libraries. Define project goals, roadmap, and scope; ensure execution and delivery; elevate engineering practices; collaborate with internal and external customers and the open-source community while fostering an inclusive, innovative environment.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

Design, implement, and optimize scalable high-performance dense linear algebra kernels for GPUs. Provide technical leadership, collaborate with product and partners, improve performance and quality, and contribute to library roadmaps and development practices.

The Senior HPC Architect role involves deploying large-scale GPU compute clusters, optimizing system administration, and collaborating with researchers on HPC and AI solutions.

Develop and optimize GPU-accelerated numerical linear algebra libraries for AI and high-performance computing. Design kernel generation, JIT compilation, matrix operations, and operator fusions; lead projects involving multiple engineers and teams; provide technical mentorship; collaborate with product management and customers on requirements and roadmaps; and improve performance and maintainability through architectural enhancements.

The Senior Circuit Design Engineer will improve netlist and timing quality in deep submicron technologies, collaborate on circuit design, and mentor junior engineers.