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

Lead strategy, forecasting, and revenue growth for assigned US Tier 1/2 telecom accounts. Own customer relationships, build strategic partnerships, drive go-to-market plans with partners and OEMs, and evangelize NVIDIA platforms and AI solutions. Collaborate cross-functionally with solution architects, product marketing, and developer relations. Travel as needed.

Design, integrate, and deploy large-scale AI/HPC GPU infrastructure with NVIDIA Cloud Partners. Drive technical engagements across the customer lifecycle, build PoCs, troubleshoot performance and scaling, and deliver technical content and workshops.

Lead and coach a storage production engineering team to design, deploy, and operate large-scale storage systems. Own capacity planning, lifecycle management, HA/disaster recovery, automation, monitoring, incident response, and partnerships with engineering and AI teams to improve data pipelines and performance.

Manage and grow NVIDIA partner relationships in Manufacturing and Automotive: develop business plans, drive ecosystem enablement, increase adoption of NVIDIA AI solutions, maintain executive relationships, and present results in QBRs.

Lead cross-functional compiler software programs from concept to delivery, coordinating global teams, tracking risks and schedules, and improving development processes. Present status to executives, drive Agile and Waterfall projects, resolve technical/resource conflicts, and implement process and tool automation to ensure timely product releases.

Lead and grow an engineering team building GPU‑accelerated deep learning inference frameworks. Drive roadmap, collaborate with compiler/libraries/research teams, optimize LLM and multimodal model performance, and oversee multi‑GPU communications and production deployment of inference software.

Recruit, engage, and accelerate Public Sector, Energy, and CAE startups into the NVIDIA Inception program. Drive technical adoption, co-selling, and go-to-market initiatives with cross-functional teams, partners, VCs, and government agencies. Track metrics, perform market analysis, and support startups from onboarding through early adoption and scaling.

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.

Design and validate embedded SRAM macros at transistor level, supervise layout and verification, develop/automate SRAM compiler flows, explore advanced process-node techniques for optimal PPA, and collaborate with SoC, test, and productization teams to deliver production silicon IP.