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

Support and grow the RAPIDS DevOps infrastructure: manage hardware, design and maintain container/build processes, develop and publish Python packages, operate CI/CD, observability, security compliance, Linux systems, and collaborate with engineers to implement DevOps best practices.

Lead strategic developer engagements to drive adoption of NVIDIA AI and accelerated computing. Architect integrations, deliver reference implementations and demos, mentor DevRel teams, and collaborate with partners and internal stakeholders to scale production-ready MarTech and AI solutions using NVIDIA software and hardware.

Review software releases and open-source components for security, licensing, and compliance. Provide first-line license triage, route complex cases to the Open Source Review Board, mentor developers on SDLC and licensing requirements, host office hours, and coordinate with security, engineering, and compliance teams to ensure timely, policy-aligned software delivery.

Lead design, automation, and operation of a scalable, secure Linux platform across physical, virtual, and cloud environments. Build IaC, provisioning, patching, security hardening, and lifecycle automation. Deploy and operate cloud infrastructure, integrate hybrid environments, and collaborate with engineering teams to improve platform reliability and maintainability.

Lead global go-to-market and co-sell strategies with AI-native ISVs and foundational model providers. Drive joint-selling, co-marketing, pipeline management, sales enablement, and cross-functional coordination with NVIDIA product and account teams to create repeatable partnership GTM motions and measurable revenue outcomes.

Support global immigration processes outside the U.S., guide employees and managers on policies, coordinate with vendors and outside counsel, assess sponsorship eligibility, mitigate risk, resolve complex immigration issues, monitor shared mailbox, and drive process improvements to enhance employee experience.

Lead developer relations for CAE by building technical expertise, integrating NVIDIA software stacks into partner projects, supporting onboarding with code samples and demos, monitoring ecosystem trends, and collaborating with partners and internal teams to drive adoption of NVIDIA AI and accelerated computing technologies.

Lead research and engineering to improve LLM inference algorithms and systems: analyze and optimize agentic LLM workloads for latency and throughput, design scalable datacenter systems, and collaborate across software, hardware, and external partners to integrate performance improvements.

Define high-level SoC subsystem and I/O architecture for LPU products, translate product requirements into architecture and IP specifications, build and validate functional/architectural models (C++, SystemC, Python), and drive tradeoffs across performance, power, reliability, and security while coordinating with IP, firmware, software, RTL, verification, and post-silicon teams.

Design, develop, test, and optimize system software for next-generation ARM SoCs in pre- and post-silicon phases. Analyze system-wide performance bottlenecks, recommend HW/SW policies, perform competitive workload comparisons, and drive full-stack adoption of performance optimizations across NVIDIA software and OSS SDKs.