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GPU Jobs in San Francisco
71 open positions · Updated 1 day ago
71 GPU roles across 23 companies, most in AI/ML; 3% fully remote; typical advertised salary $207k
Who is hiring (23 companies)
Work arrangement: 2 fully remote · 25 hybrid · 7 on-site · 37 not stated
Advertised salaries: p25 $183.8k · median $207k · p75 $282.5k (from 44 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 71 positions
Search with filters →Characterize and improve GPU performance for AI inference at Gimlet Labs, working with a heterogeneous accelerator fleet.
Drive the architecture of AI Runtime at Databricks, solving complex technical challenges in AI training infrastructure.
Join Together AI as a Staff AI Infra Engineer to enhance the reliability of our GPU inference infrastructure.
Join Gimlet Labs as an FP&A Manager to manage infrastructure budgets and improve operational efficiency in a growing tech company.
Join Together AI as a Research Intern to explore speculative decoding and enhance large language model generation.
Join Together AI as a Research Intern to explore speculative decoding and enhance large language model performance.
Ensure fal secures the necessary GPU capacity at optimal prices while managing supplier relationships and market intelligence.
Lead financial strategy for AI products and GPU investments at Databricks, driving growth with financial rigor.
Join Neuralink as a Systems Engineer to design and operate cutting-edge data center environments for innovative brain-computer interface technology.
Own the accounting for fal's compute costs and build automated workflows in a high-ownership role.
Join fal as a Technical Writer to craft compelling content about AI infrastructure for developers and technical decision-makers.
Own go-to-market strategy for fal's infrastructure products in a fast-moving AI startup environment.
Join Sierra as a Software Engineer on the Inference team to build efficient AI systems for customer-facing applications.
Lead the Inference Performance team to optimize AI workloads for GPUs at Baseten.
Build and optimize low-level execution primitives for AI inference across various hardware architectures at Gimlet Labs.
Join fal as a Senior Counsel to lead legal negotiations for AI infrastructure and hardware agreements.
Own and grow strategic partnerships in the hardware and infrastructure ecosystem for a fast-moving AI startup.
Join Tavus as a Research Engineer to optimize cutting-edge multimodal AI models for production readiness.
Lead a team of Technical Support Engineers to ensure reliable infrastructure for AI workloads at CoreWeave.
Join a talented team to build and optimize ML infrastructure for large-scale AI research.