Senior ML Engineer
Core
Full-stack ML engineer optimizing training and inference performance on GPU/AI-accelerator infrastructure, building models, and adapting designs to chip constraints.
Role type
Senior IC machine-learning engineer (AI silicon)
Builds
AI silicon chips, inference engines, and serving runtimes
Domain
AI hardware / AI chip design
Deliverable
production ML models
Required skills
GPU cluster management, distributed training, inference-serving optimization, MLOps pipelines, deep learning model design, LLM development, computer vision, recommendation systems, NPU hardening, systems-level software, inference engine optimization, test/verification harnesses, AI-driven security analysis
Preferred skills
Master's degree, RTL/DV experience, embedded Linux, RTOS, BMC firmware, AI-assisted penetration testing
Technologies
GPU, AI-accelerators, MLOps pipelines, deep learning frameworks, LLMs, CV libraries, recommendation systems, NPU cores, MAC/tensor engines, Zephyr, BMC firmware, embedded Linux, RTOS
Responsibilities
Optimize training and inference performance across GPU and AI-accelerator infrastructure; Design, train, and evaluate ML models and take them into production; Work on specialty areas like NPU hardening, systems software, or inference engines; Build or optimize inference engines against real hardware constraints; Collaborate with hardware, firmware, and QA teams to ship AI features end-to-end
Seniority
Senior, hands-on IC (via careerplan.io/jobs/744000153039909-senior-ml-engineer-at-axiado)
