Lead Software Engineer, ML/RL for Robotics
Cadence Design Systems
About the role
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.
We’re doing work that matters. Help us solve what others can’t.
Responsibilities
- Develop simulation technology for physical AI and robotics applications.
- Integrate learning environments with Cadence engineering-grade simulators.
- Enable learning workflows across dynamics, structures, fluids, and thermal applications.
- Support integrated simulation and learning environments for robotics deployment.
Qualifications
- Degree in computer science, mechanical engineering, or a related discipline.
- Preferred experience in machine learning, reinforcement learning, vision-language models, or vision-language-action models.
- A PhD in computer science, mechanical engineering, or a related discipline is preferred.
Benefits
- Paid vacation and holidays
- 401(k) plan with employer match
- Employee stock purchase plan
- Medical, dental, and vision plan options
- Potential bonus and equity incentive compensation
Skills mentioned
About Cadence Design Systems
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence’s Intelligent System Design™ strategy, are essential for the world’s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world’s top 100 best-managed companies. Cadence solutions offer limitless opportunities—learn more at www.cadence.com.
H-1B sponsorship history
Historical employer filing data was found for Cadence Design Systems. The employer record includes 1,739 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.