{"id":343242,"url":"https://alion.io/job/dexmate-senior-cae-engineer","title":"Senior CAE Engineer, Robotics","company":{"id":6958,"name":"Dexmate","domain":"dexmate.com","url":"https://alion.io/company/dexmate","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":90,"open_postings":37,"ghost_share":0.081,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":155,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fremont, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Abaqus","optional":false},{"name":"ANSYS","optional":false},{"name":"Physical AI","optional":false},{"name":"CATIA","optional":true},{"name":"MATLAB","optional":true},{"name":"MuJoCo","optional":true},{"name":"PyBullet","optional":true},{"name":"Python","optional":true},{"name":"SolidWorks","optional":true}],"status":"live","first_seen_at":"2026-06-26T00:33:47Z","employer_posted_date":"2026-06-26","last_verified_at":"2026-11-07T12:25:26Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":134},"description":"About Dexmate\nDexmate is building the foundation for physical AI - combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.\nIf you want to help shape the next layer of human capability - and believe the future of robotics should be built together, not in isolation - we'd love to build it with you.\nThe Role\nAs a CAE Engineer on the Dexmate Robotics team, you will be at the forefront of designing and validating mechanical systems for our next-generation manipulation robots. You'll guide design decisions using high-fidelity finite element models grounded in sound engineering principles, working closely with mechanical, electrical, controls, software, and manufacturing teams to bring unprecedented robotic capabilities to life.\nResponsibilities\nDevelop and analyze comprehensive finite element models for robotic systems, from individual components to full assemblies\n\nConduct static, dynamic, structural, and multi-body dynamics (MBD) simulations to evaluate performance against key requirements for strength, stiffness, durability, and manipulation accuracy\n\nGuide mechanical design teams with actionable insights and design direction based on rigorous analysis\n\nOptimize structural designs to minimize weight while maximizing stiffness, reliability, and performance under real-world operational loads\n\nDefine and analyze load cases for manipulation tasks, impacts, handling scenarios, and day-to-day operations\n\nValidate FEA models through experimental testing and iterate based on physical performance data\n\nChallenge traditional CAE methods and pioneer more efficient, accurate approaches for robotic systems\n\nCollaborate with controls engineers to understand dynamic load profiles and system-level performance requirements\n\nSupport root cause analysis and failure investigation for production issues\n\nDevelop CAE workflows, best practices, and documentation to scale analysis capabilities across the team\n\nMinimum Qualifications\nBachelor's degree in Mechanical Engineering, Aerospace Engineering, Applied Mechanics, or related field with 5+ years of experience OR Master's degree with 3+ years of experience OR PhD in designing and analyzing mechanical systems using FEA and CAE tools\n\n3+ years of experience in designing and analyzing mechanical systems using FEA and CAE tools\n\nStrong fundamentals in solid mechanics, structural dynamics, and material science\n\nProficiency in CAE software (Abaqus, ANSYS, LS-DYNA, COMSOL, OptiStruct, or equivalent)\n\nExperience with both implicit and explicit finite element analysis\n\nDemonstrated ability to conduct static, dynamic, and durability analyses\n\nStrong understanding of mechanical design principles and ability to translate analysis into actionable design recommendations\n\nExperience with experimental validation methods and correlation between simulation and physical testing\n\nExcellent communication skills and ability to collaborate effectively across multidisciplinary teams\n\nSelf-motivated problem solver who can work independently on challenging technical problems\n\nPreferred Qualifications\nAdvanced degree (MS/PhD) in Mechanical Engineering or related field\n\nExperience in robotics, automation, or mechatronics industries\n\nProficiency with multi-body dynamics simulation (ADAMS, MuJoCo, PyBullet)\n\nExperience analyzing aluminum structures, composites, and advanced materials\n\nKnowledge of advanced joining methods (adhesives, welding, mechanical fasteners)\n\nExpertise in non-linear analysis, contact mechanics, and material characterization\n\nProficiency in programming/scripting for automation (Python, MATLAB)\n\nExperience with CAD software (SolidWorks, OnShape, CATIA, NX, etc.)\n\nFamiliarity with structural dynamics, vibration analysis, and modal testing\n\nExperience with thermal-structural coupling and multi-physics simulations\n\nUnderstanding of manufacturing processes and design for manufacturability\n\nKnowledge of fatigue analysis and life prediction methodologies","description_format":"text","description_chars":4439,"description_truncated":false,"requirements":{"experience_years_min":5,"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","Humanoid 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