Sr. AI/ML Platform Engineer
Core
Build the platform layer for AI-for-engineering workflows, enabling scalable, reliable, and reproducible distributed training, inference, and agent execution.
Role type
Senior IC AI/ML Platform Engineer
Builds
Shared AI platform services, job systems, APIs, dashboards, and GPU cluster infrastructure
Domain
Semiconductor AI infrastructure, GPU computing, distributed systems
Deliverable
production ML models | infrastructure
Required skills
Distributed systems, GPU infrastructure, Kubernetes, Python, C++/Go/Rust, workflow orchestration, observability, debugging
Preferred skills
ROCm/HIP, vLLM, SGLang, Triton, Ray, Slurm, experiment tracking, artifact management, compiler integration
Technologies
Kubernetes, Ray, Slurm, ROCm, HIP, Triton, vLLM, SGLang, PyTorch, JAX, MLflow, Weights & Biases
Responsibilities
Build and operate shared AI platform for agentic engineering workflows; Develop reliable infrastructure for distributed training and inference; Build platform services for benchmark execution and reproducible evaluation; Maintain artifact systems for kernels, traces, and verification outputs; Improve GPU cluster utilization and scheduling efficiency; Build dashboards and observability systems for experiment status and resource usage; Partner with research teams to productionize workflows.
Seniority
Senior, hands-on IC
