설명
General Motors is reimagining automation at economy scale to make manufacturing more competitive in the USA.
You are a Senior Software Engineer who has deep experience in building manipulation planning and control libraries. The work covers collision-free motion generation, trajectory optimization, and the execution layer that turns a planned motion into repeatable movement on real arms.
The target applications are C++, Python, and ROS 2 on FANUC arms and mobile manipulators, under cycle time and reliability requirements. You have the taste to see important problems, the talent to build great solutions and the grit to get it done.
This role sits in the core robotics team and works alongside controls and perception engineers.
The Opportunity
- Build and own manipulation planning capability: collision-free planning, trajectory optimization, and time parameterization.
- Implement and tune planners for the target applications, with cycle time as a first-class requirement.
- Build the collision environment representation from perception output and static scene models.
- Implement Cartesian and constrained motion planning for approach, grasp, and place phases.
- Handle the mobile manipulation cases: planning with base placement, redundancy resolution, and whole-body motion.
- Build the execution layer that monitors trajectory tracking and reacts to deviation and contact.
- Define the interface between perception, planning, and control, and keep it clean as the system grows.
- Diagnose planning failures from field data and turn them into regression cases.
The Job Requirements
Experience
- 6+ years of professional engineering experience, with 2+ years in motion planning or manipulation.
- Experience deploying manipulation planning on physical arms in a production or field setting.
- Experience meeting a cycle time requirement, not only a feasibility requirement.
Education
- M.S. degree or higher in Robotics, Computer Science, Mechanical Engineering, or a closely related technical field.
- Equivalent industry experience with demonstrated simulation depth can be considered.
Core technical background
- Strong grounding in motion planning: sampling-based methods, optimization-based methods, and their respective failure modes.
- Solid kinematics and dynamics: forward and inverse kinematics, redundancy resolution, singularity handling, and Jacobian methods.
- Experience with trajectory optimization and time-optimal path parameterization.
- Experience with collision checking and distance queries, including performance characteristics.
- Hands-on experience with MoveIt, OMPL, TrajOpt, Drake, or comparable frameworks.
- Strong C++ plus Python. Hands-on experience with ROS or ROS 2.
Systems mindset
- Ability to judge how much fidelity a given validation question requires.
- Comfortable trading simulation speed against accuracy.
Collaboration
- Ability to work effectively with remote teams across multiple time zones.
- Treats simulation as a product with internal users.
Nice to have
- Experience with FANUC arms or the FANUC controller interfaces.
- Experience with force control, impedance control, or contact-rich manipulation.
- Experience with mobile manipulation and whole-body control.
- Experience with learned or hybrid planning approaches.
- Prior open-source contributions to MoveIt or the ROS manipulation ecosystem.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $129,400 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
이 직무는 재택 기반이지만, 선발된 지원자가 GM 허브에서 특정 거리 이내에 거주하는 경우 주 3회 {또는 관리자가 지정한 다른 빈도로} 출근해야 합니다.
Relocation 지원 혜택은 회사 정책에 따라 자격이 되는 지원자에게 제공됩니다.
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
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