Applied AI Engineer, Kernel Performance
Core
Build AI systems that autonomously generate, optimize, and verify production-ready kernels for Etched's proprietary inference hardware.
Role type
Senior IC Applied AI Engineer (Kernel Performance)
Builds
Autonomous kernel optimization systems and production-ready model implementations
Domain
AI Infrastructure / Hardware-Software Co-design / Inference
Deliverable
production ML models
Required skills
Kernel engineering, Python, low-level code, agentic AI tools, performance profiling, experiment infrastructure design, numerical stability evaluation, hardware-software co-design
Preferred skills
LLM-based agent development, first principles accelerator performance, multi-agent orchestration, fine-tuning/post-training
Technologies
Python, proprietary runtime, hardware counters, profiler traces
Responsibilities
Own the system converting new model architectures into verified production kernels; Build agents to design experiments, generate implementations, and diagnose bottlenecks; Design evals for correctness, latency, and efficiency; Curate datasets from optimization trajectories; Build reproducible experiment infrastructure; Ship model-generated improvements to production; Partner with architecture teams on hardware-software roadmap.
Seniority
Senior, hands-on IC
