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

Leads multiple concurrent quantum computing R&D programs, translating research roadmaps into measurable execution plans and scalable technologies. Partners across applied research, engineering, product teams, and external organizations to prioritize work, manage risks, solve technical challenges, and advance quantum technologies toward fault-tolerant computing. Requires strong technical understanding of quantum hardware and software, exceptional communication, and extensive experience managing complex cross-functional technology initiatives.

Design and implement LLM-first APIs and documentation for CUDA-X math libraries. Develop tools, metrics, and processes to improve AI-agent code generation and transform library APIs into LLM-friendly formats. Collaborate with stakeholders on LLM-enhanced releases while prototyping solutions for code-generation platforms. Requires expertise in LLMs, fine-tuning, reinforcement learning, RAG, MCP, agent tooling, composable API design, and technical documentation.

Operate and improve large-scale Kubernetes and GPU clusters across public and private clouds. Build automation, observability, capacity-management, and reliability systems; define SLOs and SLIs; support production launches; lead incident triage and root-cause analysis; conduct blameless postmortems; and participate in on-call support for AI workloads.

Leads a globally distributed customer engineering organization supporting internal EDA infrastructure while overseeing a Kubernetes platform team. Responsibilities include developing managers, improving support operations, defining SLOs, translating support trends into engineering roadmaps, automating recurring operational work, and advancing AI/LLM-based support assistants. The role requires hands-on technical engagement with Kubernetes, EDA job schedulers, internal LLM infrastructure, and production environments.

Develop and optimize large-scale data ingestion and serving infrastructure for autonomous vehicle systems. Build reliable pipelines, real-time and batch data services, validation checks, monitoring, and scalable distributed systems. Collaborate with AV development teams to improve data processing efficiency, latency, availability, and quality while documenting ingestion processes.

The Senior Localization Engineer will build robust localization solutions using navigation maps for autonomous vehicles, ensuring real-time performance and adherence to automotive safety standards.

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.

Leads technical developer-relations strategy for NVIDIA platforms across capital markets. Advises quants, traders, developers, financial institutions, ISVs, and cloud providers; demonstrates CUDA, CUDA-X, AI frameworks, and accelerated computing solutions; supports partner onboarding and integrations; develops benchmarks, sample code, and reference implementations; gathers ecosystem feedback; influences product roadmaps; and represents NVIDIA at industry events, workshops, and conferences.

Build agentic engineering workflows that automate code generation, testing, tuning, and optimization across NVIDIA frameworks, compilers, and developer tools. Partner with engineering teams to identify high-impact use cases, develop multi-agent orchestration systems, integrate agents into Git and CI workflows, validate results on GPUs, and create scalable infrastructure and evaluation methods for broader adoption.

Develop and lead production software-defined networking for NVIDIA’s global GPU cloud infrastructure. Design multi-tenant control and data planes using Open vSwitch, OVN, OpenFlow, Kubernetes, C, and Go. Build networking services, plugins, automation, testing, observability, and reliability improvements. Lead architecture and code reviews, mentor engineers, support on-call operations, and resolve complex production incidents through diagnostics and source-level debugging.