Robotics Simulation Architect (Many-Body Dynamics)

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

Benefits offered by this job

Paid vacation and paid holidays

401(k) plan with employer match

Employee stock purchase plan

Medical, dental and vision plan

Job summary

Cadence Design Systems is seeking experts to develop simulation algorithms for physical AI and robotics, including many-body dynamics and finite element analysis. You will refine contact algorithms, validate against robotics hardware, and evaluate simulated versus real deployment behavior.

Strong background in control theory and controller optimization is preferred. The role emphasizes collaboration with hardware teams and ongoing refinement based on experimental results, with a focus on

Qualifications

• Degree in mechanical engineering, computer science, or related discipline.
• PhD preferred for advanced roles.
• Experience with numerical methods or simulation for robotics deployment.

Responsibilities

• Develop simulation algorithms for physical AI and robotics applications, including many-body dynamics and finite element analysis.
• Develop and refine contact algorithms to model physical interactions in robotics scenarios.
• Validate simulation algorithms on robotics hardware and use experimental results to guide improvements.
• Evaluate simulation behavior against real-world deployment scenarios to identify and address differences between simulated and hardware results.
• Apply control theory and controller optimization and tuning methods to support simulation and hardware validation, as applicable.

Skills

Many-body dynamics

Finite element analysis

Control theory

Education

Bachelor's degree in mechanical engineering, computer science, or related discipline

PhD in mechanical engineering, computer science, or related discipline

Job description

Cadence Design Systems is seeking experts to develop simulation algorithms for physical AI and robotics, including many-body dynamics and finite element analysis. You will refine contact algorithms, validate against robotics hardware, and evaluate simulated versus real deployment behavior.

Strong background in control theory and controller optimization is preferred. The role emphasizes collaboration with hardware teams and ongoing refinement based on experimental results, with a focus on