46 Cuda roles across 23 companies, most in AI/ML; 2% fully remote; typical advertised salary $182k
Who is hiring (23 companies)
Role types
Work arrangement: 1 fully remote · 15 hybrid · 6 on-site · 24 not stated
Advertised salaries: p25 $160k · median $182k · p75 $204k (from 27 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 46 positions
Search with filters →Own Sarvam's production serving path for large distributed models, integrating and optimizing performance across a multi-node stack.
Join Sarvam AI as a Senior Performance Engineer to optimize GPU kernels for high-performance ML systems.
Lead advancements in physics simulation for robotics at Skild AI, contributing to innovative projects in a dynamic startup environment.
Join Genmo as a GPU Performance Engineer to optimize video generation models and achieve significant performance improvements.
Design and implement low-level systems software for GPU clusters in a pioneering AI infrastructure company.
Join Kodiak Robotics as a Senior AI Infrastructure Engineer to optimize model training for autonomous technology.
Join Fundamental as a Senior Applied Research Engineer to tackle technical challenges in AI model development for enterprise decision-making.
Join Graphcore as a Senior Software Engineer to optimize AI hardware and software performance in a collaborative environment.
Join Tavus as a Senior Software Engineer to enhance the infrastructure behind real-time AI conversations.
Join Applied Intuition as a Research Engineer to design and build AI infrastructure for next-generation physical AI systems.
Join Cantina as a Machine Learning Engineer to build advanced speech systems and contribute to innovative AI technology.
Join Cantina as a Senior Machine Learning Engineer to develop innovative AI image generation models for lifelike AI bots.
Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.
Join World Labs as a Performance Engineer to optimize AI models for speed and efficiency in a cutting-edge research environment.