Hiring: Member of Technical Staff Company: Harrison Clarke Location: San Francisco Bay Area Job Posted Time: 2026-09-16 22:38:27 Target Skills & Keywords : AWS, Azure, Data Pipeline, GCP, Kubernetes, Machine Learning, Node.js, PyTorch, Python About the job Experience: •5+ years of software engineering experience, with significant time spent on ML infrastructure, distributed systems, or platform engineering Required Skills: •Design and build foundational ML infrastructure •Training orchestration, distributed compute frameworks, GPU/TPU cluster management, and experiment tracking systems •Improving throughput, fault tolerance, checkpointing, and resource utilization across multi-node, multi-accelerator environments •Develop and maintain model serving infrastructure •Low-latency inference systems, model packaging, deployment pipelines, and autoscaling •Build internal platforms and tooling •Enabling researchers to iterate faster with self-service compute, data pipelines, and reproducible experiment workflows •Collaborate closely with research teams Qualifications: •Applied hands-on capability in large-scale distributed training frameworks (PyTorch, JAX, DeepSpeed, Megatron, or equivalent) •Strong background in GPU/accelerator programming •, CUDA, and high-performance networking (NCCL, InfiniBand, RoCE) •, container orchestration, and cloud infrastructure (AWS, GCP, or Azure) •Operational familiarity with ML experiment tracking, data pipelines, and model lifecycle management tooling •Excellent problem-solving instincts and a bias toward shipping reliable, well-instrumented systems •Background in HPC, scientific computing, or large-scale simulation infrastructure •Contributions to open-source ML infrastructure projects •Operational familiarity with custom accelerator hardware (TPUs, Trainium, custom ASICs) Compensation: •$300,000 - $400,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!