Develop simulation algorithms for physical AI and robotics, including many-body dynamics, finite element analysis, and contact modeling. Validate simulations on robotics hardware, compare simulated and real-world behavior, and improve algorithms using experimental results. Apply control theory and controller optimization to support simulation and hardware validation.
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
We are seeking a Simulation Engineer to develop simulation technology for physical AI and robotics applications. In this role, you will develop simulation algorithms spanning many-body dynamics and finite element analysis, with a particular emphasis on contact algorithms, and validate their performance on robotics hardware. Working at the intersection of simulation and real-world deployment, you will connect numerical methods with practical robotics applications.
Key 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.
Required Qualifications
- Degree in mechanical engineering, computer science, or a related discipline.
Preferred Qualifications
- PhD in mechanical engineering, computer science, or a related discipline.
- Expertise spanning both numerical methods or simulation and practical robotics deployment scenarios.
- 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.
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.Cadence Design Systems San Jose, California, USA Office
2655 Seely Avenue, San Jose, CA, United States, 95134
Cadence Design Systems Santa Clara, California, USA Office
Santa Clara, United States
Cadence Design Systems Sunnyvale, California, USA Office
Sunnyvale, United States
Similar Jobs
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Maintains, troubleshoots, and repairs aircraft mechanical and electrical systems. Performs scheduled and unscheduled maintenance, provides technical support to engineering teams, applies procedures and specialized tools, and completes complex non-standard tasks. The role requires an FAA Airframe and Powerplant license, flexibility for extended and on-call schedules, and the ability to obtain a DoD Top Secret clearance.
Top Skills:
Aerospace Maintenance Tools And EquipmentAircraft Electrical SystemsAircraft Mechanical Systems
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and implement testing for a space ground mission-focused cloud software application. Responsibilities include creating test plans and procedures, supporting integration and requirements sell-off, coordinating with systems and software teams, providing technical solutions, supporting system integration, and participating in customer meetings and demonstrations. The role is fully onsite and may require occasional travel.
Top Skills:
AWSBashC2SCurlDockerGitGitlabJavaJavaScriptJenkinsJSONPostmanSQLXML
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Designs and integrates cybersecurity architectures for mission-critical DoD systems throughout the systems lifecycle. Supports RMF assessment and authorization, security planning, requirements development, cyber engineering, DevSecOps, vulnerability assessments, STIG compliance, threat modeling, security testing, and continuous monitoring. Collaborates with engineering teams, program leadership, government stakeholders, and customers to deliver secure, resilient systems and achieve accreditation milestones.
Top Skills:
Assessment And Authorization (A&A)Attack Vector AnalysisCameoCloud SecurityCross-Domain SolutionsDevsecopsDisa StigDynamic Code AnalysisMbseRisk Management Framework (Rmf)Static Code AnalysisThreat ModelingVulnerability AssessmentZero Trust Architecture
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
