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

The Solutions Architect will act as a technical advisor, collaborate on AI solutions, run demonstrations, and ensure customer success by integrating technical solutions with business needs.

The Infrastructure Design Engineer will design and execute whitespace environments for AI data centers, ensuring optimal power, cooling, and networking support. Responsibilities include collaborating with engineers and contractors, creating CAD/BIM models, and overseeing project compliance with engineering standards.

Serve as the named technical owner for a strategic customer, managing end-to-end GPU infrastructure (compute, networking, storage, facilities). Lead incident lifecycle, RCAs, RMA coordination, observability, capacity expansions, and cross-functional escalation while driving technical roadmaps and executive communications.

The Infrastructure Accounting Manager will oversee accounting for fixed assets and leases, ensuring accurate reporting, compliance, and process improvements in a fast-paced AI infrastructure environment.

The Senior Revenue Accountant will manage accounts receivable, invoicing, collections, and revenue recognition in compliance with ASC 606, and collaborate with multiple departments to improve processes and ensure accurate revenue reporting.

Design and operate multi-petabyte, high-performance storage for large-scale AI/HPC clusters. Architect parallel filesystems and object stores, build Kubernetes-native storage operators, optimize RDMA/InfiniBand and NVMe-based data paths for 10–50 GB/s per node, implement multi-tier caching and prefetching, ensure observability and 99.9%+ uptime, and collaborate with ML/SRE teams while driving cost and performance improvements.

As an AI Researcher, you will develop novel architectures and optimizations in machine learning, collaborating with teams to enhance open models and ensuring cutting-edge research practices.

Design and build production systems for AI inference, optimize runtime services, and collaborate on AI solutions with researchers and engineers.

Develop systems and APIs for LLM inference and fine-tuning. Design production systems, collaborate with teams, and improve system efficiency.

The Senior Data Engineer will build and operate data infrastructure for high-volume event processing, enhance scalability, and collaborate with product teams on analytics systems.