{"schemaVersion":"jobsearcher.job.v1","id":"130d74c61419bd6936c281c6","url":"https://jobsearcher.com/jobs/130d74c61419bd6936c281c6","canonicalUrl":"https://jobsearcher.com/jobs/130d74c61419bd6936c281c6","title":"Staff Engineer, Motor Controls Algorithm and Analytics","description":"The staff engineer leads and contributes to the development and verification of motor controls algorithms and their performance in the EPC (Electric Power Conversion) team. They are responsible for continuously improving the team's technical excellence, discipline, and flexibility to ensure high-quality software deliverables, timely integration of software, operational efficiency, and field performance review via cloud big data for both fault diagnostics and predictive prognostics.\n\nDevelop advanced motor control algorithms and calibrations for high power electric drive system\nDevelop big data analytical tools to assess, improve, and achieve full robustness of inverter fault handling and advanced motor control features, and complete troubleshooting and root cause analysis (in collaboration with cross-functional hardware and reliability team)\nDevelop cross-functional vehicle-level controls features and meet functional safety (FUSA) requirements\nLead the requirement definition of advanced motor controls and cross-functional vehicle-level features\nDesign algorithms, perform simulation and analysis, and work with cross-functional teams\nDevelop hardware-in-the-loop (HIL) test cases for controls and software development\nPlan and perform algorithm testing in HIL, high-voltage dynamometer, and vehicle test environments\nStay abreast of new technologies, competitive methods, and products\nSubmit patents and trade secrets to advance Rivian's Intellectual Property portfolio in the field of propulsion drive controls\nDesign and implement Prognostics and Health Management algorithms alongside fault diagnostics to estimate the remaining useful life of motor drive components\nAnalyze long-term degradation trends from field data to transition fault handling from reactive troubleshooting to proactive predictive maintenance\n\nPh.D. in Electrical Engineering or Mechanical Engineering with dissertation research in advanced motor control algorithm design\n5+ years of experience in algorithm design and testing in the EV industry or equivalent experience\nExpert in the theory and principle of AC electric machine drive and three-phase switching power converter topologies\nStrong data analysis background and programming skills in Python and SQL, and familiarity with modern data stack tools like Databricks.\nStrong teamwork skills, data presentation, problem-solving attitude, and project planning in collaboration with project managers\nExpert in developing digital control algorithms for 3-phase switching power converters and AC electric machines\nFluency in Model-based design using Matlab/Simulink, modeling and simulation of electric drives, and inverter fault handling\nStrong C and C++ programming languages\nExcellent interpersonal skills in a fast-paced team with full autonomy\nStrong hands-on experience in high voltage/power/speed laboratory/vehicle environment, as well as vehicle ECU interfaces and tools\nExperience with a software testing platform, including HIL tests and unit tests","company":"Rivian","rawCompany":"rivian","city":"Carson","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T18:43:57.043Z","occupations":[{"code":"17-2141.02","title":"Automotive Engineers","slug":"automotive-engineers"},{"code":"17-2071.00","title":"Electrical Engineers","slug":"electrical-engineers"},{"code":"17-2199.05","title":"Mechatronics Engineers","slug":"mechatronics-engineers"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"336110","title":"Automobile and Light Duty Motor Vehicle Manufacturing","slug":"automobile-and-light-duty-motor-vehicle-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Engineer, Motor Controls Algorithm and Analytics","description":"The staff engineer leads and contributes to the development and verification of motor controls algorithms and their performance in the EPC (Electric Power Conversion) team. They are responsible for continuously improving the team's technical excellence, discipline, and flexibility to ensure high-quality software deliverables, timely integration of software, operational efficiency, and field performance review via cloud big data for both fault diagnostics and predictive prognostics.\n\nDevelop advanced motor control algorithms and calibrations for high power electric drive system\nDevelop big data analytical tools to assess, improve, and achieve full robustness of inverter fault handling and advanced motor control features, and complete troubleshooting and root cause analysis (in collaboration with cross-functional hardware and reliability team)\nDevelop cross-functional vehicle-level controls features and meet functional safety (FUSA) requirements\nLead the requirement definition of advanced motor controls and cross-functional vehicle-level features\nDesign algorithms, perform simulation and analysis, and work with cross-functional teams\nDevelop hardware-in-the-loop (HIL) test cases for controls and software development\nPlan and perform algorithm testing in HIL, high-voltage dynamometer, and vehicle test environments\nStay abreast of new technologies, competitive methods, and products\nSubmit patents and trade secrets to advance Rivian's Intellectual Property portfolio in the field of propulsion drive controls\nDesign and implement Prognostics and Health Management algorithms alongside fault diagnostics to estimate the remaining useful life of motor drive components\nAnalyze long-term degradation trends from field data to transition fault handling from reactive troubleshooting to proactive predictive maintenance\n\nPh.D. in Electrical Engineering or Mechanical Engineering with dissertation research in advanced motor control algorithm design\n5+ years of experience in algorithm design and testing in the EV industry or equivalent experience\nExpert in the theory and principle of AC electric machine drive and three-phase switching power converter topologies\nStrong data analysis background and programming skills in Python and SQL, and familiarity with modern data stack tools like Databricks.\nStrong teamwork skills, data presentation, problem-solving attitude, and project planning in collaboration with project managers\nExpert in developing digital control algorithms for 3-phase switching power converters and AC electric machines\nFluency in Model-based design using Matlab/Simulink, modeling and simulation of electric drives, and inverter fault handling\nStrong C and C++ programming languages\nExcellent interpersonal skills in a fast-paced team with full autonomy\nStrong hands-on experience in high voltage/power/speed laboratory/vehicle environment, as well as vehicle ECU interfaces and tools\nExperience with a software testing platform, including HIL tests and unit tests","datePosted":"2026-04-12T18:43:57.043Z","dateModified":"2026-04-12T18:43:57.043Z","hiringOrganization":{"@type":"Organization","name":"Rivian","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Carson","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"130d74c61419bd6936c281c6"},"url":"https://jobsearcher.com/jobs/130d74c61419bd6936c281c6"}}