"ml hardware accelerators" Jobs
158 open tech roles matching “ml hardware accelerators”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, PyTorch. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 158 results
Join Inferact as a performance engineer to optimize vLLM, the fastest AI inference engine, working directly with hardware vendors.
Join Mirendil as a staff engineer to design and optimize custom ML kernels for frontier AI research.
Join Anthropic as a Hardware Systems Architect to lead the design and architecture of cutting-edge AI hardware systems.
Join Mythic to develop the next generation of AI compilers for cutting-edge dataflow hardware.
Join Preference Model as a Machine Learning Engineer to develop low-level reinforcement learning environments in a fast-paced startup.
Join CoreWeave as a Senior Engineer to optimize GPU kernels for high-performance AI applications in a rapidly growing environment.
Join Anthropic as a Software Engineer specializing in ML Networking, focusing on network infrastructure and optimization.
Join Mythic to advance the MLIR ecosystem, extending high-level dialects and designing a new hardware-aware low-level dialect.
Join Mythic as a Senior Silicon Emulation Engineer to develop and validate AI accelerators using hardware emulation platforms.
Lead the engineering organization at Inferact to develop systems for vLLM, focusing on GPU performance and ML systems optimization.
Join Kodiak Robotics as a Senior AI Infrastructure Engineer to optimize model training for autonomous technology.
Join Fireworks AI as a Software Engineer focused on Performance Optimization to enhance AI infrastructure efficiency and speed.