Lead Software Engineer - Machine Learning/Reinforcement Learning for Robotics

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Help advance simulation technology for physical AI and robotics at Cadence. Cadence develops engineering-grade simulators for dynamics, structures, fluids, and thermal applications. In this role, you will connect learning environments with existing simulators to accelerate deployment for robotics applications, bringing engineering simulation and AI-driven learning together.

Key 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.
  
  

Required Qualifications

• Degree in computer science, mechanical engineering, or a related discipline.
  

Preferred Qualifications

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

The annual salary range for California is $119,000 to $221,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

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