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.The Meta Robotics Hardware team is seeking a Mechanical Design Engineer with a extensive experience in Design for Manufacturing and Assembly (DFMA). In this role, you will ensure that complex electromechanical systems - actuators, structural components, integrated sensor packages, and cladding - are designed from the ground up for efficient, repeatable, and future-scalable production. You'll work at the intersection of robot design, materials science, and manufacturing engineering to bring novel platforms from proto@type to low volume production. This role will be part of a ME team responsible for concept development, analytical modeling, proto@type design, first article build, fabrication, vendor management, and testing. Candidates should be comfortable working in a high ambiguity, fast paced environment where full system requirements are seldom known. This team is dedicated to building hardware that enables learning through data collection and system testing.
Required Skills:
Mechanical Design Engineer: Robotics Hardware Engineering, DFMA Responsibilities:
Drive DFMA principles across the full mechanical design lifecycle of robot platforms- from concept through low-volume production
Explore and proto@type alternate manufacturing methods/processes (investment casting, die casting, molding, additive) as alternative for machining for larger structural components
Work directly with design engineers to simplify part geometry, reduce fastener count, consolidate components, and minimize assembly steps without compromising performance
Develop and maintain design guidelines, tolerance stacks, and assembly specifications tailored to robotic systems (actuators, linkages, structural chassis, cable routing, skin/shell enclosures)
Perform manufacturing feasibility assessments on new designs
identify risk areas and propose design changes early in the development cycle
Lead DFM reviews with internal teams and external manufacturing partners (CNC, sheet metal, injection molding, die casting, additive manufacturing)
Define and optimize assembly sequences, fixturing strategies, and joining methods (threaded fasteners, adhesives, press fits, snap fits, welding)
Create and maintain Bill of Materials (BOM) cost models
weight and cost reduction initiatives through material selection, process optimization, and part consolidation
Collaborate closely with electrical, firmware, and controls engineers to ensure integrated system-level manufacturability
Support supplier development - qualify processes, conduct site visits, and establish inspection criteria for critical-to-function features and interfaces
Develop and document standard work instructions and assembly aids for proto@type and production builds
Collaboration: Work closely with a cross-functional team of engineers (EE, SW, Firmware) to deliver complete technical solutions
Sustaining engineering: Troubleshooting root-cause of mechanical failures, implementing improved designs, testing effectiveness of change
Minimum Qualifications:
Minimum Qualifications:
7+ years experience in Mechanical Design Engineering with focused on DFMA
BS degree in Mechanical Engineering
Experience designing complex electro-mechanical, tightly integrated, and consumer level solutions
Deep working knowledge and prior experience with component manufacturing processes: CNC machining, injection molding, die casting, sheet metal fabrication, and additive manufacturing
Experience with SOLIDWORKS, Siemens NX or similar CAD tools
Experience with rapid prototyping manufacturing processes and materials
Experience managing time-sensitive projects through to completion while balancing evolving priorities and a broad range of stakeholders
Experience in tolerance analysis, geometric dimensioning and tolerancing (GD&T per ASME Y14.5)
Experience in Finite Element Analysis (FEA)
Experience with tolerance analysis tools and methodologies (RSS, Monte Carlo, worst-case)
Familiarity with common joining and fastening methods and their trade-offs in robotic assemblies
Strong communication skills with the ability to influence design decisions across multidisciplinary teams
Experience with lightweighting strategies (topology optimization, lattice structures, composite materials)
Background in high-mix/low-volume transitioning to mid-volume production environments
Preferred Qualifications:
Preferred Qualifications:
Experience with plastic injection molding
Knowledge of reliability engineering concepts (FMEA, HALT/HASS, life testing) as they relate to mechanical design
Direct experience with robotic systems - BLDC motors, actuators, gearboxes, linkage mechanisms
Experience driving and leading projects from cradle to grave
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.
