Meta
Summary
At Meta Robotics Studio, 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 Electromechanics Sensor Communication, and/or Planning & Control.
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
Design and develop 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
Collaboration: work closely with a cross‑functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD degree or equivalent experience in Robotics, Physical AI, or a similar field
5+ years experience in Robotics, Electro‑Mechanical Design, Sensor & Communications, 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
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, MLBs fabrication, SMT, and/or FPCs 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
Compensation
$213,000/year to $293,000/year + bonus + equity + benefits
Industry
Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Accommodations
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations‑ext@fb.com.
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At Meta Robotics Studio, 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 Electromechanics Sensor Communication, and/or Planning & Control.
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
Design and develop 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
Collaboration: work closely with a cross‑functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD degree or equivalent experience in Robotics, Physical AI, or a similar field
5+ years experience in Robotics, Electro‑Mechanical Design, Sensor & Communications, 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
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, MLBs fabrication, SMT, and/or FPCs 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
Compensation
$213,000/year to $293,000/year + bonus + equity + benefits
Industry
Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Accommodations
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations‑ext@fb.com.
#J-18808-Ljbffr