Research Scientist, Robotics Systems
Job Description
At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences.
To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.
Meta Robotics Studios is seeking a Research Scientist who will do research & applied research to help lead concept innovation, design, development, and prototyping of novel robotics design and development, including electro-mechanical design and/or perception to control problems, as well as complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role will be part of a cross-collaborative team responsible for initial concept development, analytical modeling, prototype design, construction, and testing; and it may involve research into Electro-mechanics, Sensor & Communication, and/or Planning & Control.
Locations
- Redmond, WA, USA
- Burlingame, CA, USA
Salary
147,000 - 208,000 USD / yearly
Skills Required
- Roboticsintermediate (Technical)
- Electro-Mechanical Designintermediate (Technical)
- Sensor & Communicationsintermediate (Technical)
- C++intermediate (Programming)
- Pythonintermediate (Programming)
- Machine Learningintermediate (AI)
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience (degree in Computer Science)
- 1+ years experience in Robotics, Electro-Mechanical Design, Sensor & Communications, or a similar field (experience in Robotics, 1 years)
- PhD degree or equivalent experience in Robotics, Physical AI, or a similar field (degree in Robotics)
- Experience designing complex electromechanical assemblies (robotics, automotive, aerospace, industrial automation or a similar domain) (experience in Electromechanical Design)
- Experience with Robotics and consumer electronic product design (experience in Robotics)
- 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 in Robotics)
- Experience with organizational and analytical skills, driving technical strategy and execution in a fast-paced, high ambiguity environment (experience in Technical Strategy)
Preferred Qualifications
- Experience working in CM, JDM, and ODM/OEM development models. (experience in Development Models)
- Proficient in C++ or Python programming. (experience in Programming)
- Experience in Machine Learning tools. (experience in Machine Learning)
- Experience with automation equipment design and custom machine builds. (experience in Automation)
- Experience with simulation tools conducting Finite element analysis: Structural, Modal. (experience in Simulation)
- Experience with manufacturing processes and materials. (experience in Manufacturing)
- Experience in developing power electronics components for robotics systems (battery, power management circuit, and motor driver - field oriented control). (experience in Power Electronics)
- 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 in Manufacturing Processes)
- Experience in statistical process control. (experience in Statistical Process Control)
- Experience in Convex Optimization tools and theories. (experience in Optimization)
- Experience collaborating closely with a cross-functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines. (experience in Collaboration)
- Experience with SOLIDWORKS, Siemens NX or similar CAD tools. (experience in CAD Tools)
Responsibilities
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- Contribute to publications and open-sourcing efforts
- Work with a large team
- Help identify long-term ambitious research goals as well as intermediate milestones
- Prioritize research that can be applied to Meta's product development
- Mentor other team members. Play a significant role in healthy cross-functional collaboration
