Staff Machine Learning Engineer, LLM FineTuning (Verilog/RTL Applications) (San

Job Summary We are looking for a

Staff ML Engineer

to lead fine-tuning and deployment of

LLM-based solutions for code/RTL workflows

in a secure, privacy-first enterprise environment. Key Responsibilities Lead

LLM fine-tuning, evaluation, and production deployment . Design secure

AWS-based ML pipelines

(Bedrock, SageMaker). Build robust

model evaluation and inference systems . Provide technical leadership and mentor engineers. Required Skills & Qualifications 10+ years engineering experience; 5+ years in

ML/LLMs . Strong hands-on with

PyTorch, Hugging Face, LoRA/QLoRA, PEFT . Experience deploying LLMs on

AWS

in secure enterprise setups. Strong system design and communication skills. Preferred Qualifications Exposure to

code/RTL, Verilog, or EDA workflows . Experience with

RAG, constrained decoding, inference optimization .