LLM Fine-Tuning Engineer for Verilog/RTL — Onsite San Jose

First Soft Solutions LLC; San Jose (CA); On-site; USD 150,000 - 180,000; Full time

Job summary

A technology services company is seeking a Machine Learning Engineer specializing in LLM fine-tuning for Verilog/RTL applications. This mid-senior level role requires significant experience in ML/AI and leading projects. Responsibilities include owning the technical roadmap and designing ML pipelines on AWS. The ideal candidate will have a proven track record in deploying LLM-powered features. Full-time position located in San Jose, CA.

Qualifications

• 10+ years total engineering experience, with 5+ in ML/AI or large-scale distributed systems.
• 3+ years working directly with transformers/LLMs.
• AWS expertise for secure enterprise deployments.
• Strong software engineering fundamentals: testing, CI/CD, observability.

Responsibilities

• Own the technical roadmap for Verilog/RTL-focused LLM capabilities.
• Lead a team of applied scientists/engineers.
• Fine-tune and customize models using state-of-the-art techniques.
• Design privacy-first ML pipelines on AWS.

Skills

LLM fine-tuning

Verilog/RTL

AWS

Bedrock

SageMaker

PyTorch

Hugging Face Transformers

DeepSpeed

Python

Job description

A technology services company is seeking a Machine Learning Engineer specializing in LLM fine-tuning for Verilog/RTL applications. This mid-senior level role requires significant experience in ML/AI and leading projects. Responsibilities include owning the technical roadmap and designing ML pipelines on AWS. The ideal candidate will have a proven track record in deploying LLM-powered features. Full-time position located in San Jose, CA.