Summary:
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 Studio is seeking a Mechanical Engineer with deep experience in finite element analysis (FEA) and kinematics/dynamics modeling to help design and optimize next-generation humanoid robots. In this role, you will use simulation-driven engineering to influence architecture decisions early, validate designs through detailed analysis, and partner closely with design, controls, hardware, and reliability teams to deliver robust, lightweight, high-performing robotic systems.You will work across structural performance, weight optimization, drop/shock survivability, and modal/vibration behavior, and also build/own kinematic and energy models to study optimal joint motor placement and power usage across real robot tasks such as walking, stair ascent/descent, and manipulation tasks. This team is dedicated to building hardware that enables learning through data collection and system testing.
Required Skills:
Mechanical Design Engineer: Robotics Simulation and Modeling Responsibilities:
Own end-to-end FEA for major humanoid subsystems
Perform and communicate results for: structural analysis (static and nonlinear as needed
contacts, preloads, bolted joints, interference fits), weight optimization (topology/shape/size optimization and trade studies with manufacturability constraints), drop/shock and impact survivability analysis (energy methods, explicit/implicit where appropriate, correlation plans), and modal analysis and vibration characterization (mode-shape interpretation, frequency targets, stiffness tuning, resonance avoidance)
Define boundary conditions, load cases, acceptance criteria, and correlation plans
ensure assumptions are defensible and traceable
Drive design changes based on analysis: identify high-stress areas, fatigue risk, stiffness deficiencies, and robustness gaps
Partner with test engineering to correlate simulations to bench/vehicle/robot tests
iterate models based on measured data
Develop and use kinematic and dynamic models to evaluate joint architectures and actuation trade-offs
Quantify task-level power/energy usage and thermal implications across locomotion and manipulation tasks
Evaluate workspace, singularities, joint limits, torque requirements, reflected inertia, and transmission efficiency impacts
Produce actionable guidance to hardware and controls teams on architecture choices (DoF allocation, link lengths, actuator placement, gearing tradeoffs)
Collaborate with mechanical design, controls, perception, embedded, manufacturing, and reliability teams from concept through EVT/DVT/PVT-style phases
Create clear technical documentation: assumptions, model setup, results, conclusions, design recommendations, and test correlation status
Establish best practices for simulation workflows (review checklists, model versioning, validation gates, and data management)
Minimum Qualifications:
Minimum Qualifications:
BS in Mechanical Engineering or related field
7+ years of relevant experience in robotics, aerospace, automotive, or high-performance electromechanical products
Demonstrated expertise in FEA including static structural analysis and interpretation of stress/strain, stiffness, and failure modes, and geometry optimization for weight reduction
Experience with at least one major FEA toolset (e.g., Abaqus, ANSYS, Comsol, Nastran, or similar) and pre/post processing workflows
Experience with drop/shock simulation and test correlation (instrumented drops, shock response spectra, impact modeling)
Experience performing modal analysis and translating results into concrete design improvements
Hands-on experience building kinematic models (e.g., using MATLAB, Python, ROS/Pinocchio, Drake, or similar)
Demonstrated knowledge of mechanics of materials, dynamics, and machine design principles as applied to product development
Ability to communicate analysis results clearly to mixed audiences and drive design decisions
Preferred Qualifications:
Preferred Qualifications:
Familiarity with humanoid locomotion/manipulation requirements, including stiffness targets for control bandwidth and resonance constraints
Proven track record of taking analysis from concept to validated hardware
Working knowledge of CNC machining processes - understanding of fixturing, tool access, setup minimization, and achievable tolerances
Experience with PLM/PDM systems (Teamcenter, Solidworks PDM, Windchill, or similar)
Experience modeling actuator/transmission efficiency, motor thermal limits, and energy consumption for robotic tasks
Direct experience with robotic systems - BLDC motors, actuators, gearboxes, linkage mechanisms
Background in high-mix/low-volume transitioning to mid-volume production environments
CAD proficiency (SolidWorks, NX, or CREO, Rhino)
Experience managing time-sensitive projects through to completion while balancing evolving priorities and a broad range of stakeholders
Experience with optimization (topology/shape/parametric) and designing for manufacturability (CNC, die cast, additive, composites)
Familiarity with injection molding, thermoforming, or composite manufacturing as it relates to complex-geometry parts
Experience with fatigue, joint modeling (bolts, bearings, welds/adhesives), and contact nonlinearity
MS in Mechanical Engineering, Product Design Engineering, or related discipline
Public Compensation:
$173,000/year to $245,000/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 stereo@types, 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.
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@meta.com.
