{"schemaVersion":"jobsearcher.job.v1","id":"b4ed52fcb8302154ce0bcf50","url":"https://jobsearcher.com/jobs/b4ed52fcb8302154ce0bcf50","canonicalUrl":"https://jobsearcher.com/jobs/b4ed52fcb8302154ce0bcf50","title":"Senior Robotics Control Engineer","description":"About Us\nFoundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots.\nFactory OS is building software that runs factories. Our platform spans cloud backends, on-prem services, and edge devices deployed on the factory floor. The operators, supervisors, and managers who use our tools need interfaces that are fast, reliable, and intuitive—even when network conditions aren’t perfect and the environment is demanding.\nThe role\nThe Senior Robotics Control Engineer will design and develop real-time control systems for advanced robotic manipulators, with a focus on torque control, motion planning, and state estimation. This role involves building optimization-based control algorithms, integrating sensor fusion across multiple sensing modalities, and driving controller performance from simulation through hardware validation. Working closely with the Autonomy, Hardware, and Testing teams, the engineer will develop scalable, high-performance robotics solutions that enable precise, reliable, and intelligent manipulation in real-world environments.\nKey Responsibilities:\nDesign and develop real-time C++ code control of robotic arms, with emphasis on torque control and low impedance.\nBuild model-based planning and control components: trajectory optimization, inverse dynamics, and whole-arm motion control.\nDevelop state estimation for real-time manipulation, fusing encoders, torque sensors, force-torque sensing, and IMUs.\nOwn controller performance end-to-end: simulation validation, hardware bring-up, tuning, and regression testing.\nDesign scalable solutions that integrate with Autonomy, Hardware, and Testing systems at Foundry.\nWhat we're looking for\n5+ years of experience implementing optimization-based multi-DOF control algorithms (inverse dynamics, trajectory optimization) on real robotic systems\nExperience building state estimation solutions for real-time robotic systems such as (E)KFs, Particle Filters, Factor Graphs, etc.\nExperience with various sensors (encoders, torque sensors, force-torque sensors, IMUs) and sensor fusion\nDeep understanding of spatial kinematics, dynamics, and related mathematical concepts\nA proven track record iterating on complex multi-DOF systems, with emphasis on torque control and low impedance\nFluency in modern C++ and Python\nAdditional Qualifications:\nMPC / receding-horizon control on real systems\nContact-rich manipulation, grasping, or force-controlled assembly\nRigid-body dynamics libraries (Pinocchio, Drake, MuJoCo) and optimization solvers\nROS 2 and real-time Linux\nExperience with Machine Learning as it relates to control or state estimation (learned dynamics models, residual policies, imitation learning)\nWhy Join Us?\nThis is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together.\nWe are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again.\nThe base salary range for this full-time position, based in San Francisco, is: $150,000—$250,000 USD\nCompensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.\nCompensation Range: $150K - $250K","company":"Foundry Robotics","rawCompany":"foundry robotics","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-13T15:21:09.841Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-2199.05","title":"Mechatronics Engineers","slug":"mechatronics-engineers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"}],"industries":[{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-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"},{"code":"335314","title":"Relay and Industrial Control Manufacturing","slug":"relay-and-industrial-control-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Robotics Control Engineer","description":"About Us\nFoundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots.\nFactory OS is building software that runs factories. Our platform spans cloud backends, on-prem services, and edge devices deployed on the factory floor. The operators, supervisors, and managers who use our tools need interfaces that are fast, reliable, and intuitive—even when network conditions aren’t perfect and the environment is demanding.\nThe role\nThe Senior Robotics Control Engineer will design and develop real-time control systems for advanced robotic manipulators, with a focus on torque control, motion planning, and state estimation. This role involves building optimization-based control algorithms, integrating sensor fusion across multiple sensing modalities, and driving controller performance from simulation through hardware validation. Working closely with the Autonomy, Hardware, and Testing teams, the engineer will develop scalable, high-performance robotics solutions that enable precise, reliable, and intelligent manipulation in real-world environments.\nKey Responsibilities:\nDesign and develop real-time C++ code control of robotic arms, with emphasis on torque control and low impedance.\nBuild model-based planning and control components: trajectory optimization, inverse dynamics, and whole-arm motion control.\nDevelop state estimation for real-time manipulation, fusing encoders, torque sensors, force-torque sensing, and IMUs.\nOwn controller performance end-to-end: simulation validation, hardware bring-up, tuning, and regression testing.\nDesign scalable solutions that integrate with Autonomy, Hardware, and Testing systems at Foundry.\nWhat we're looking for\n5+ years of experience implementing optimization-based multi-DOF control algorithms (inverse dynamics, trajectory optimization) on real robotic systems\nExperience building state estimation solutions for real-time robotic systems such as (E)KFs, Particle Filters, Factor Graphs, etc.\nExperience with various sensors (encoders, torque sensors, force-torque sensors, IMUs) and sensor fusion\nDeep understanding of spatial kinematics, dynamics, and related mathematical concepts\nA proven track record iterating on complex multi-DOF systems, with emphasis on torque control and low impedance\nFluency in modern C++ and Python\nAdditional Qualifications:\nMPC / receding-horizon control on real systems\nContact-rich manipulation, grasping, or force-controlled assembly\nRigid-body dynamics libraries (Pinocchio, Drake, MuJoCo) and optimization solvers\nROS 2 and real-time Linux\nExperience with Machine Learning as it relates to control or state estimation (learned dynamics models, residual policies, imitation learning)\nWhy Join Us?\nThis is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together.\nWe are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again.\nThe base salary range for this full-time position, based in San Francisco, is: $150,000—$250,000 USD\nCompensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.\nCompensation Range: $150K - $250K","datePosted":"2026-08-13T15:21:09.841Z","dateModified":"2026-08-13T15:21:09.841Z","hiringOrganization":{"@type":"Organization","name":"Foundry Robotics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b4ed52fcb8302154ce0bcf50"},"url":"https://jobsearcher.com/jobs/b4ed52fcb8302154ce0bcf50"}}