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GPU Jobs in New York
27 open positions · Updated 2 days ago
27 GPU roles across 7 companies, most in AI/ML; typical advertised salary $278.5k
Who is hiring (7 companies)
Work arrangement: 16 hybrid · 2 on-site · 9 not stated
Advertised salaries: p25 $185.8k · median $278.5k · p75 $320k (from 22 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 27 positions
Search with filters →Join Mirage as a founding engineer to develop photoreal 3D rendering capabilities in Tesseract, our innovative graphics engine.
Join Suno as a Senior Infrastructure Security Engineer to secure cloud infrastructure for a leading AI music platform.
Design and build secure sandboxed runtime environments for Kubernetes workloads in a fast-growing AI cloud company.
Lead the delivery of CoreWeave's compute fleet, ensuring operational readiness and alignment with customer requirements.
Join Anthropic as a Performance Engineer to optimize the inference engine for AI systems at scale.
Join Reflection AI as a Research Software Engineer to bridge research and production in cutting-edge AI training systems.
Join Reflection AI's Compute Platform team to enhance multi-cloud scheduling and GPU infrastructure in a mission-driven environment.
Join Triomics as a Platform Engineer to build backend services and manage cloud infrastructure for processing millions of clinical documents.
Join CoreWeave as a Principal Solution Specialist for Infrastructure, driving complex AI infrastructure deals globally.
Drive the adoption of AI runtime services at CoreWeave, leveraging your expertise in distributed systems and AI infrastructure.
Design and build secure, high-performance environments for Kubernetes workloads as a Senior Software Engineer II at CoreWeave.
Join Anthropic as a Hardware Systems Architect to lead the design and architecture of cutting-edge AI hardware systems.
Join Anthropic as a Staff Software Engineer to enhance deployment infrastructure for AI systems in a collaborative environment.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.
Join Anthropic as a Performance Engineer to optimize AI inference systems for throughput, latency, reliability, and correctness.