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Cuda Jobs in United States
57 open positions · Updated 1 day ago
57 Cuda roles across 26 companies, most in AI/ML; 2% fully remote; typical advertised salary $190.9k
Who is hiring (26 companies)
Role types
Work arrangement: 1 fully remote · 17 hybrid · 16 on-site · 23 not stated
Advertised salaries: p25 $160k · median $190.9k · p75 $220k (from 37 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 57 positions
Search with filters →Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.
Design and optimize AI infrastructure for real-time intelligence at Ambient.ai, enhancing security through advanced machine learning models.
Join Fireworks AI as a Member of Technical Staff to design and build systems infrastructure for AI workloads at scale.
Join Waymo as a Software Engineer focusing on GPU technologies to enhance autonomous driving systems.
Join ElevenLabs as an HPC Infrastructure Engineer to optimize GPU clusters for AI research in a fully remote environment.
Join Xaira Therapeutics as a Robotics Engineer to build and integrate advanced lab automation systems in a cutting-edge biotech startup.
Join Pika as a Senior/Staff ML Engineer to enhance AI-driven products through advanced inference acceleration and GPU optimization.
Join Kodiak Robotics as a Senior AI Infrastructure Engineer to optimize model training for autonomous technology.
Join Kodiak Robotics as a Staff Probabilistic Risk Assessment Engineer to enhance safety in autonomous trucking technology.
Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve top-ranked realtime voice models.
Join Iambic Therapeutics as a Machine Learning Scientist to innovate AI-based drug discovery with multimodal models.
Join Iambic Therapeutics as a Machine Learning Scientist to fine-tune multimodal models for clinical prediction in drug discovery.
Join Applied Intuition as an AI Performance Engineer to optimize large-scale machine learning workloads in a collaborative environment.
Join Applied Intuition as an ML Runtime Optimization Engineer to optimize ML models for embedded environments in a collaborative team.
Join Applied Intuition as a Research Engineer to design and build AI infrastructure for next-generation physical AI systems.
Join Applied Intuition to build ML tools and infrastructure for next-generation self-driving vehicles in a dynamic team culture.
Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.