Lead ML/RL Robotics Simulation Engineer

Cadence; San Jose (CA); On-site; USD 119,000 - 221,000; Full time

Job summary

Cadence in California is seeking to advance simulation technology for physical AI and robotics. You will connect learning environments with Cadence’s engineering-grade simulators to accelerate deployment for robotics applications.The role emphasizes ML and DL methods, with opportunities for PhD-level research and impact on multiple physics domains; the compensation includes salary ranges, incentives, equity, and comprehensive benefits.

Qualifications

• Degree in computer science, mechanical engineering, or a related discipline.
• Experience and expertise in machine learning, reinforcement learning, and/or vision-language models (VLMs) or vision-language-action models (VLAs).

Responsibilities

• Develop simulation technology supporting physical AI and robotics applications.
• Integrate learning environments with Cadence’s existing engineering-grade simulators.
• Enable learning workflows that leverage simulation capabilities across dynamics, structures, fluids, and thermal applications.
• Support the use of integrated learning and simulation environments to accelerate deployment for robotics applications.

Skills

Machine Learning

Reinforcement Learning

Vision-Language Models

Vision-Language-Action Models

Education

Bachelor or higher degree in Computer Science, Mechanical Engineering, or related discipline

PhD in Computer Science, Mechanical Engineering, or related discipline

Job description

Cadence in California is seeking to advance simulation technology for physical AI and robotics. You will connect learning environments with Cadence’s engineering-grade simulators to accelerate deployment for robotics applications.The role emphasizes ML and DL methods, with opportunities for PhD-level research and impact on multiple physics domains; the compensation includes salary ranges, incentives, equity, and comprehensive benefits.