"ml hardware accelerators" Jobs
51 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, CUDA. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 51 results
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 Preference Model as a Machine Learning Engineer to develop low-level reinforcement learning environments in a fast-paced startup.
Join Anthropic as a Software Engineer specializing in ML Networking, focusing on network infrastructure and optimization.
Lead the engineering organization at Inferact to develop systems for vLLM, focusing on GPU performance and ML systems optimization.
Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.
Join Inferact as a cluster administration engineer to manage high-performance GPU compute infrastructure for AI inference.
Own the end-to-end execution of custom silicon for AI systems at Anthropic, driving external partnerships and program management.
Join World Labs as a Performance Engineer to optimize AI models for speed and efficiency in a cutting-edge research environment.
Join Inferact as a Developer Relations Engineer to shape how developers learn and build with vLLM, the AI inference engine.
Join Inferact as a staff engineer to build distributed systems for AI inference at global scale.
Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.