Senior Robotics Simulation Engineer — Physical AI & FE

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

Benefits offered by this job

Bonus incentives

Equity

Comprehensive benefits

Job summary

Cadence is seeking a Simulation Engineer to develop simulation technology for physical AI and robotics applications. You will implement algorithms spanning many-body dynamics and finite element analysis, with emphasis on contact algorithms and hardware validation.

You will connect numerical methods with real robotics deployment. Responsibilities include refining contact algorithms, validating on robotics hardware, and applying control theory and tuning methods.

Qualifications

• Bachelor's degree in mechanical engineering, computer science, or a related discipline.
• PhD in mechanical engineering, computer science, or a related discipline.
• Experience with many-body dynamics, finite element analysis, and contact algorithms.
• Experience validating simulation algorithms on robotics hardware.
• Expertise in control theory and controller optimization and tuning.

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

Contact algorithms

Control theory

Controller optimization

Education

Bachelor's degree in mechanical engineering or computer science

PhD in mechanical engineering or computer science

Job description

Cadence is seeking a Simulation Engineer to develop simulation technology for physical AI and robotics applications. You will implement algorithms spanning many-body dynamics and finite element analysis, with emphasis on contact algorithms and hardware validation.

You will connect numerical methods with real robotics deployment. Responsibilities include refining contact algorithms, validating on robotics hardware, and applying control theory and tuning methods.