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Vllm Jobs in San Francisco
24 open positions · Updated 1 week ago
24 Vllm roles across 12 companies, most in AI/ML; typical advertised salary $200k
Who is hiring (12 companies)
Role types
Work arrangement: 6 hybrid · 1 on-site · 17 not stated
Advertised salaries: p25 $191k · median $200k · p75 $203.5k (from 15 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 24 positions
Search with filters →Join Handshake as a Senior Software Engineer to build scalable ML infrastructure for a fast-growing AI data business.
Lead and mentor a team of Forward Deployed Engineers to optimize LLM inference workloads for Baseten customers.
Join Baseten as a Software Engineer to build and optimize large-scale LLM inference systems in a collaborative environment.
Join Inferact as a Developer Relations Engineer to shape how developers learn and build with vLLM, the AI inference engine.
Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.
Own the inference systems that power frontier AI models in production and research at a tech-first startup.
Join Sesame as an ML Model Serving Engineer to enhance our serving layer for voice agents with cutting-edge techniques.
Join Preference Model as a Senior ML Infrastructure Engineer to build scalable infrastructure for post-training research on large language models.
Join Stuut as a Member of the Technical Staff to design and deploy AI-powered systems for financial operations.
Join Abridge as a Machine Learning Infrastructure Engineer to optimize AI model inference infrastructure in a fast-paced healthcare startup.
Drive the adoption of AI runtime services at CoreWeave, leveraging your expertise in distributed systems and AI infrastructure.
Join CoreWeave as an Applied AI Engineer to enhance the performance of our inference platform through benchmarking and optimization.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Join Together AI as a Research Engineer to develop a platform for customizing open-source models with user data.
Join Together AI as a Staff ML Engineer to optimize voice model serving for real-time applications on a high-impact team.