**Summary:**

Reality Labs is looking for an Engineering Manager to lead our Data Systems Hardware & Site Engineering team. This team designs, builds, and deploys the devices and systems used to capture the datasets behind Reality Labs products. That work supports Codec Avatars, Input, and Health programs across all RL devices, and enables the algorithm development and research behind those programs.You'll manage a multi-disciplinary engineering team (mechanical, electrical, firmware/embedded software, and systems engineering) across three classes of capture hardware. Studio systems: large-scale multi-camera rigs with controlled lighting, hardware synchronization, high-bandwidth ingest, and storage infrastructure. Wearable prototypes: data collection headsets, sensor-integrated form factor mockups, and body-worn devices that hold sensor alignment and repeatable positioning across participants. In-the-wild systems: portable and participant-operated hardware that collects outside a controlled lab, durable enough for sustained handling by non-engineering operators and serviceable in the field. You'll also own the site engineering function that deploys and sustains these systems across North America.You're a builder and a leader. You'll get hands-on with critical hardware challenges, represent and advocate for the hardware engineering craft, and develop the overall data collection strategy with program leaders and stakeholders. That means translating research roadmaps into system requirements, deciding which modality fits which program need, and making sure our capture capabilities keep up.Requirements are often undefined at project start. Research direction and program priorities shift, and specs get established through prototyping and measurement. You'll be the connective tissue between researchers, engineers, and site teams, determining project priority, feasibility, and resource allocation across programs with competing timelines.

**Required Skills:**

Engineering Manager, Data Systems Hardware & Site Engineering Responsibilities:

1. Lead and develop the hardware, electrical, and embedded software engineering craft for data capture systems across multiple RL programs

2. Own the design and evolution of studio capture systems, including multi-camera arrays, structured lighting, hardware synchronization, high-bandwidth data pipelines, and on-site storage infrastructure

3. Own the design and evolution of wearable capture prototypes, including data collection headsets, sensor-integrated form factor mockups, and body-worn devices, covering sensor integration, alignment repeatability, fit, comfort, thermal, and participant safety

4. Own the design and evolution of in-the-wild collection systems that operate outside controlled lab environments, built for transport, field assembly, and use by non-engineering operators

5. Manage a team of mechanical, electrical, and firmware engineers. Mentor, grow, and develop leaders and individual contributors

6. Represent and advocate for the hardware engineering craft. Develop the right processes, practices, and people to accomplish the team's work

7. Own the team's systems for designing, simulating, prototyping, and testing capture hardware

8. Drive architecture and design reviews for hardware and firmware across device programs

9. Provide individual technical contributions by implementing electro-mechanical and firmware solutions on critical projects

10. Establish design standards, common platforms, and reusable subsystems to reduce cost and schedule on subsequent builds

11. Identify essential roles and recruit top engineering talent

12. Develop the overall data collection strategy with program leaders and stakeholders across Codec Avatars, Input, and Health

13. Translate research roadmaps into system requirements and capture capability targets

14. Decide which collection modality fits which program need, and make the trade-offs across data quality, participant scale, cost, and deployability explicit

15. Define equipment standards and technical specifications for capture systems

16. Own the site engineering function for data collection sites across North America, including deployment planning, bring-up, and sustained technical support

17. Build and manage site engineering teams (technicians, coordinators, contingent workers) that install, operate, and maintain capture systems

18. Accountable for hardware inventory, logistics, maintenance, and equipment standards across distributed sites

19. Ensure, through partners, scaled deployment and site-level technical processes including calibration, validation, privacy and data compliance, and participant safety

20. Perform root-cause analysis on failures in deployed hardware, drive design improvements back into the systems, and verify effectiveness

21. Design for transport, field assembly, and reconfiguration across sites, and support device bring-up and troubleshooting on location

22. Manage site engineering budgets and resource allocation across collections and hardware programs

23. Serve as liaison between researchers, engineering, site teams, and software teams across programs

24. Coordinate complex projects with key partners. Manage team allocation, schedules, milestones, and delivery

25. Influence leaders and key partners to gain alignment, build virtual teams, and accomplish cross-team goals

26. Drive improvements through measurement, feedback loops, and continuous iteration

27. Balance priorities across Codec Avatars, Input, and Health programs with competing timelines and resource needs

**Minimum Qualifications:**

Minimum Qualifications:

28. BS or higher in Mechanical, Electrical, or Systems Engineering (or equivalent experience)

29. 12+ years experience as a hardware engineer working across one or more of: electrical, mechanical, embedded software, systems engineering, or similar domain

30. 5+ years in leadership and people management in medium to large scale organizations

31. Direct experience shipping consumer hardware or working in technology R&D organizations

32. Demonstrated expertise with complex data capture systems, including multi-camera rigs, lighting, hardware synchronization, and high-bandwidth data pipelines

33. Experience with hardware that integrates cameras, sensors, and compute into constrained or wearable form factors

34. Experience owning multi-site technical operations or site engineering (labs, data collection, manufacturing, or similar)

35. Demonstrated domain knowledge in compute and systems development with a proven track record building advanced technology

36. Experience leading design development from schematic capture, PCB layout through assembly

37. Experience establishing requirements and specifications in environments where full system requirements are undefined at project start

**Preferred Qualifications:**

Preferred Qualifications:

38. Deep expertise in camera systems, structured/controlled lighting, time synchronization (PTP/genlock), and high-speed data ingest/storage architectures

39. Experience with AR/VR headsets, smart glasses, or other head-mounted hardware

40. Experience designing hardware for repeated handling, transport, and field deployment by non-engineering operators

41. Experience managing distributed teams and vendor partnerships across multiple geographies

42. Background in health/medical devices, input devices, or biometric sensing systems

43. Experience working with CM and EMS partners in design, manufacture, testing, and delivery of hardware solutions

44. Experience developing data collection strategy across multiple programs and collection modalities

45. Experience with digital circuit design and communications protocols (I2C, UART, SPI, USB, MIPI, I2S)

46. Experience with high-bandwidth data transport (10G/25G/100G Ethernet, PCIe, NVMe, high-speed serial interfaces)

47. Experience with head-worn, wearable, or body-worn devices, including fit, adjustment mechanisms, and anthropometric sizing

48. Experience with 3D design modeling (NX or SolidWorks) and physical prototyping

49. Experience with embedded computing and wearable devices

50. Experience with motion capture, photogrammetry, or biometric sensing systems

51. Experience with privacy, data compliance, and participant safety requirements in human subject study environments

52. Experience with instrumented prototypes or research hardware built for data capture rather than production release

**Public Compensation:**

$208,000/year to $289,000/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.

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.