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53 open positions · Updated 1 day ago
53 vLLM roles across 26 companies, most in AI/ML; 8% fully remote; typical advertised salary $200k
Who is hiring (26 companies)
Role types
Work arrangement: 4 fully remote · 13 hybrid · 15 on-site · 21 not stated
Advertised salaries: p25 $160k · median $200k · p75 $200k (from 25 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 53 positions
Search with filters →Own the GPU cluster infrastructure at Perplexity AI, building a self-serve platform for training and inference workloads.
Join Specter as an ML Infrastructure engineer to build and scale machine learning systems for real-time perception across edge-cloud platforms.
Join Preference Model as a Senior ML Infrastructure Engineer to build scalable infrastructure for post-training research on large language models.
Lead CoreWeave's strategic efforts in developing AI inference services that drive innovation and business outcomes for customers.
Join Hippocratic AI as a senior LLM Inference Systems Engineer to build high-performance networking for large language models.
Build inference systems for AI models in production at Gimlet Labs, focusing on performance and efficiency.
Join Inferact as a Member of Technical Staff to manage vulnerability processes for vLLM's AI infrastructure.
Join Inferact as a Forward Deployed Engineer to optimize AI inference systems in customer environments.
Join Inferact as an inference runtime engineer to innovate AI inference engines for large models in a fully remote role.
Own Sarvam's production serving path for large distributed models, integrating and optimizing performance across a multi-node stack.
Own the model lifecycle for defence and strategic sector deployments as an MLOps Engineer at Sarvam AI.
Join Handshake as a Senior Software Engineer to build scalable ML infrastructure for a fast-growing AI data business.
Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.
Join Inferact as a staff engineer to work on optimizing AI inference across the vLLM stack in a fully remote role.