Research Scientist – Robotics Systems
| Company | Meta |
|---|---|
| Location | Burlingame, CA, USA, Redmond, WA, USA |
| Salary | $147000 – $208000 |
| Type | Full-Time |
| Degrees | Bachelor’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 1+ years experience in Robotics, Electro-Mechanical Design, Sensor & Communications, or a similar field
- PhD degree or equivalent experience in Robotics, Physical AI, or a similar field
- Experience designing complex electromechanical assemblies (robotics, automotive, aerospace, industrial automation or a similar domain)
- Experience with Robotics and consumer electronic product design
- Experience with more than one of the following: motor design and control, digital control theory, optimization algorithms, feedback control algorithms, chip-level sensor design, gear-ratio optimization, dynamic system ID and machine learning
- Experience with organizational and analytical skills, driving technical strategy and execution in a fast-paced, high ambiguity environment
Responsibilities
- Conduct research advancing novel robotics design and development, including new components and/or processes that guide toward production-ready systems
- Drive the Robotics roadmap, exploring forward-looking ways to accelerate novel robotic architectures
- Research mechanical and electrical design and analysis problems for robotics structure, new sensors, mechanisms, power transmissions, communication hardware/firmware and systems integration while balancing ergonomics, performance, reliability
- Research and design planning and control algorithms for executing actions to motors integrating sensors and actuations, frequently interacting with the Large Model (VLM/VLA) AI team and Mechatronics team
- Perform experiments of real and simulation robotic systems and debug the supporting parts manufacture, working with internal and external partners to support part fabrication and complex custom sub assembly
- Assembly of robot: hands-on partnership in the lab integrating research with construction of sub-assemblies into full system-level robot prototypes
- Failure analysis: build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions
- Develop novel mechanical contact sensors and research to understand the mechanics of materials
- Develop novel non-contact sensors and research to understand the underlying physics behind the sensors
- Develop communication hardware and firmware software
- Research and develop characterization/training sensors and calibration
- Research and design feedback controllers around the sensors and actuators
- Research and develop a planning algorithm that involves perception and collision avoidance
- Research and design feedback controllers around the sensors
Preferred Qualifications
- Experience with manufacturing processes and materials
- Experience in developing power electronics components for robotics systems (battery, power management circuit, and motor driver – field oriented control)
- Experience with SOLIDWORKS, Siemens NX or similar CAD tools
- Experience in Convex Optimization tools and theories
- Experience in Machine Learning tools
- Proficient in C++ or Python programming
- Extensive knowledge of traditional mass production manufacturing processes, including the potentials and limitations of injection molding, metal injection molding, CNC, sheet metal, elastomer compression molding, die casting, thixomolding, multi-layer board fabrication, surface mount technology, and/or flexible printed circuit fabrication
- Experience with automation equipment design and custom machine builds
- Experience in statistical process control
- Experience working in CM, JDM, and ODM/OEM development models
- Experience with simulation tools conducting Finite element analysis: Structural, Modal
- Experience collaborating closely with a cross-functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines