{"id":2460623,"url":"https://alion.io/job/bosch-robotics-dynamics-optimization-scientist-cr","title":"Robotics Dynamics & Optimization Scientist_CR","company":{"id":132,"name":"Bosch","domain":"bosch.com","url":"https://alion.io/company/bosch","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":934,"ghost_share":0,"stale_share":0.995,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Robotics","role_family":"Robotics","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":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":84000,"period":"year","method":null,"sample_n":646},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Crocoddyl","optional":false},{"name":"Drake","optional":false},{"name":"Model Predictive Control","optional":false},{"name":"Pinocchio","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-13T11:07:49Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T13:52:06Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.\nWe are looking for a Robotics Dynamics & Optimization Engineer to develop optimization and control algorithms for robotic manipulators.\nThe role focuses on robot dynamics, constrained optimization, and optimization-based control. The engineer will formulate robot performance and motion requirements as optimization problems, and develop methods to improve robot configuration, dynamic capability, actuator utilization, and safe operation under physical constraints.\nKey Responsibilities\nDevelop kinematic and dynamic models for robotic manipulators, including actuator, payload, and external force constraints.\nFormulate robot motion and performance problems as constrained optimization problems.\nDevelop optimization algorithms for robot configuration, trajectory, joint load distribution, and dynamic performance.\nDevelop optimization-based control methods, such as Whole-Body Control, inverse dynamics control, QP-based control, or MPC.\nAnalyze robot capability under different payload, velocity, acceleration, and actuator constraints.\nDevelop constraint-handling methods to ensure safe operation near joint, torque, and actuator limits.\nImplement and validate algorithms in simulation and on real robotic systems.\n Master's degree or above in Robotics, Control, Mechanical Engineering, Automation, or related fields.\nStrong knowledge of robot kinematics and rigid-body dynamics.\nStrong background in constrained optimization and numerical optimization.\nExperience with Whole-Body Control, trajectory optimization, MPC, inverse dynamics, or related optimization-based robotics methods.\nGood understanding of joint torque, velocity, acceleration, payload, and actuator constraints.\nProficiency in C++ and/or Python, with experience using robotics or optimization libraries such as Pinocchio, CasADi, Drake, Crocoddyl, or equivalent tools.\nExperience implementing and validating robot algorithms in simulation or on real robotic 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