Senior AI Systems Engineer - Production LLMs for Hardware

Synopsys; Sunnyvale (CA); On-site; USD 260,000 - 360,000; Full time

Job summary

Synopsys in Sunnyvale, CA, seeks a Senior AI Researcher to advance domain-specific LLMs for hardware design workflows. You will build verifiable AI systems that can generate RTL-related code, evaluate models, and ensure production readiness.

You will lead fine-tuning, PEFT, and data pipelines, design rigorous evaluation, and mentor the team while contributing to publications and patents. This role blends research excellence with practical engineering for semiconductor design.

Qualifications

• PhD in Computer Science, ML, or Electrical Engineering.
• 8+ years building and shipping ML systems; 3+ years in LLMs/agentic AI.
• Deep expertise in PyTorch, Hugging Face, and distributed training like DeepSpeed/FSDP.
• Strong foundation in supervised fine-tuning, PEFT, and reasoning-enhancement techniques.
• Experience designing automated evaluation, benchmarks, and ML monitoring.

Responsibilities

• Lead adaptation of foundation models to engineering domains using supervision and PEFT.
• Architect multi-step planning agentic systems with tool calls.
• Own evaluation strategies and automated LLM/agent benchmarks and regressions.
• Develop production ML monitoring for drift and data quality.

Skills

PyTorch

Hugging Face

DeepSpeed

Post-training

Education

PhD in CS/ML/EE

Tools

DeepSpeed

FSDP

Accelerate

Job description

Synopsys in Sunnyvale, CA, seeks a Senior AI Researcher to advance domain-specific LLMs for hardware design workflows. You will build verifiable AI systems that can generate RTL-related code, evaluate models, and ensure production readiness.

You will lead fine-tuning, PEFT, and data pipelines, design rigorous evaluation, and mentor the team while contributing to publications and patents. This role blends research excellence with practical engineering for semiconductor design.