Jobs → Engineering → Staff ML Engineer

About the Role We are looking for a highly experienced Staff Machine Learning Engineer with strong expertise in AI/ML and the Semiconductor domain to work across the full stack—from ML models and inference optimization to AI accelerators and silicon-level systems. Key Responsibilities • Work across the full stack from ML models and inference optimization to AI accelerators and silicon-level systems • Develop, train, evaluate, and deploy ML models in production • Optimize ML models with hardware awareness • Collaborate with hardware, RTL/DV, firmware, and QA teams Requirements • 5–7+ years of hands-on AI/ML experience • Mandatory Master’s degree or PhD • Semiconductor domain experience is mandatory • Experience with GPU/AI accelerator infrastructure, distributed training, and MLOps • Strong ML model development, training, evaluation, and production deployment experience • Hardware-aware ML optimization, inference engines, and model quantization • Deep hands-on expertise in at least 2 specialty areas: NPU / AI Accelerator, Embedded Linux, BMC Firmware, or RTOS, Inference Engines and Serving Runtimes, Hardware Test / Verification Automation, AI-driven Cybersecurity