"ml accelerator" Jobs
799 open tech roles matching “ml accelerator”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 799 results
Design and implement machine learning accelerators to enhance Waymo's autonomous driving technology.
Join Inferact as a performance engineer to optimize vLLM, the fastest AI inference engine, working directly with hardware vendors.
Join ChipAgents as an ML Systems Engineer to optimize LLM inference systems for leading semiconductor companies.
Join Mythic to develop the next generation of AI compilers for cutting-edge dataflow hardware.
Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.
Join Applied Intuition as an ML Runtime Optimization Engineer to optimize ML models for embedded environments in a collaborative team.
Join AMP Sortation as a Machine Learning Engineer to develop cutting-edge AI solutions for modernizing recycling infrastructure.
Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.
Lead the engineering organization at Inferact to develop systems for vLLM, focusing on GPU performance and ML systems optimization.
Join Triomics as an ML Evaluation Engineer to ensure model quality and stability in clinical AI systems.
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 Genesis Molecular AI as a Fullstack Software Engineer to develop tools that accelerate drug discovery through machine learning and computational chemistry.
Join Inferact as a staff engineer to work on optimizing AI inference across the vLLM stack in a fully remote role.
Join Mirendil as a staff engineer to design and optimize custom ML kernels for frontier AI research.