Senior Robotics Software Engineer, Planning and Control
$120,000–$150,000 year
Remote · San Francisco, California, United States or United States
San Francisco, California, United States or United StatesRemoteFull Time$120,000–$150,000 yearSenior LevelDoctorate Or Professional DegreeUnknown
Type
Full Time
Level
Senior Level
Education
Doctorate Or Professional Degree
Company size
Unknown
Job Summary
Chef Robotics seeks a Senior Robotics Software Engineer to develop motion planning and control systems for food preparation robots. Requires advanced knowledge in robotics software development, expertise in Python/C++, and a collaborative, on-site work ethic.
Required Qualifications
- BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field
- 7+ years of professional experience in robotics software development with focus on planning and control
- Expert-level proficiency in Python and/or C++ with strong software engineering fundamentals
- Deep understanding of motion planning algorithms including sampling-based, optimization-based, and learning-based approaches
- Extensive experience with trajectory optimization, path planning, and trajectory smoothing techniques
- Proven experience leading and shipping complex robotics planning and control projects
- Strong background with real-time control systems and feedback control design
Desired Qualifications
- Startup experience with track record of shipping working products under tight deadlines
- Robotics research experience, including publications in motion planning, control, or related fields
- Experience with the robotics tech stack including Linux, ROS, OpenCV, CUDA
- Knowledge of calibration, state estimation, and sensor fusion for planning and control
- Experience with basic mechatronics and electronics relevant to control systems
- Background in manufacturing automation, food production, or industrial robotics
- Experience with machine learning approaches to motion planning and control
- Knowledge of multi-robot coordination and task allocation algorithms
Additional Requirements
- Comfort with working in a fast-paced startup environment with startup-oriented hours
- Commitment to working onsite five days a week to contribute to positive in-office culture
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