{"id":779947,"url":"https://alion.io/job/ekarobotics-research-engineer-simulation","title":"Research Engineer – Simulation","company":{"id":674021,"name":"EKA Robotics","domain":"ekarobotics.com","url":"https://alion.io/company/ekarobotics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":67,"open_postings":11,"ghost_share":0.545,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":132000,"max_usd":294000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"MuJoCo","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-04-20T21:07:44Z","employer_posted_date":"2026-04-20","last_verified_at":"2026-10-29T06:08:45Z","board_verified":true,"closed_at":null,"days_open":191,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":191},"description":"Eka Robotics\nEka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.\nOur team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.\nResponsibilities\nEvaluate and extend physics engines (e.g. MuJoCo, Newton)\n\nScale and optimize GPU-based physics simulators for massive training workloads\n\nImprove the realism of contact-rich manipulation environments\n\nCreate tools and automated workflows to validate, tune, and optimize physical and visual assets\n\nMinimum Qualifications\nBachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related field\n\nStrong C++ and Python programming skills\n\nHands-on experience with physics engines\n\nProven ability to build and scale high-performance, physics-based simulation environments\n\nPreferred Qualifications\nStrong mathematical & physics background - particularly expertise in rigid/soft-body dynamics, contact mechanics, FEA, and numerical stability\n\nExperience across the entire simulation stack, from CAD import and mesh optimization to real-time rendering\n\nExperience with reinforcement learning, policy training, differentiable physics, or neural simulation models\n\nBackground in contact-rich manipulation or legged locomotion\n\nStrong knowledge of GPU acceleration and robotics model formats (URDF, SDF, USD)\n\nProven success deploying simulation-trained policies onto real-world hardware","description_format":"text","description_chars":1684,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Industrial Robotics"],"lifecycle":[{"event":"open","at":"2026-09-12T00:26:58Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 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