{"id":3017703,"url":"https://alion.io/job/cadence-design-systems-lead-software-engineer-mlrl-for-robotics","title":"Lead Software Engineer, ML/RL for robotics","company":{"id":4351,"name":"Cadence Design Systems","domain":"cadence.com","url":"https://alion.io/company/cadence","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":110,"ghost_share":0,"stale_share":0.755,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Robotics","role_family":"Robotics","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":119000,"max":221000,"currency":"USD","period":"year","gross":null,"usd_annual":221000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Physical AI","optional":false},{"name":"Machine Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Vision-Language-Action","optional":true}],"status":"live","first_seen_at":"2026-10-21T17:01:53Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-11-03T00:48:03Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.\nHelp 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.\nKey Responsibilities\nDevelop simulation technology supporting physical AI and robotics applications.\nIntegrate learning environments with Cadence’s existing engineering-grade simulators.\nEnable learning workflows that leverage simulation capabilities across dynamics, structures, fluids, and thermal applications.\nSupport the use of integrated learning and simulation environments to accelerate deployment for robotics applications.\nRequired Qualifications\nDegree in computer science, mechanical engineering, or a related discipline.\nPreferred Qualifications\nExperience and expertise in machine learning, reinforcement learning, and/or vision-language models (VLMs) or vision-language-action models (VLAs).\nPhD in computer science, mechanical engineering, or a related discipline.\nThe 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.\nWe’re doing work that matters. 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