Staff ML Engineer
Core
End-to-end ML engineer optimizing training and inference performance from model to silicon, adapting designs to chip constraints and NPU cores.
Role type
Staff ML Engineer (AI Silicon & Systems)
Builds
Production ML models, inference engines, and AI-enabled security chips (via careerplan.io/jobs/744000153039849-staff-ml-engineer-at-axiado)
Domain
AI Hardware / AI Silicon / Embedded Systems
Deliverable
production ML models
Required skills
GPU/AI-accelerator infrastructure optimization, deep learning model development, NPU core hardening, embedded Linux/RTOS development, automated test/verification harnesses, AI-driven security analysis
Preferred skills
PhD in relevant field, experience with BMC firmware, RTL/DV work, quantization for chip constraints
Technologies
GPU clusters, MLOps pipelines, CoralNPU, RVV, Zephyr RTOS, embedded Linux, BMC firmware
Responsibilities
Optimize training/inference on GPU/AI-accelerator infrastructure; Design, train, and evaluate ML models (LLM, CV, recommendation); Harden and extend NPU cores into production silicon; Build or optimize inference engines against hardware constraints; Work on BMC firmware, embedded Linux, or RTOS; Build automated test/verification harnesses for AI-assisted RTL/DV; Apply ML to security (log/intrusion analysis, penetration testing)
Seniority
Staff, hands-on IC with strategic scope
