Systems Integration Engineer, Embedded Systems / Mechatronics

Meta; Redmond; On-site; AUD 248,000 - 351,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is hiring an Systems Integration Engineer, Embedded Systems / Mechatronics to bring up new hardware, implement end-to-end integrations, and define robust test and calibration workflows. You will own interfaces across mechanical, electrical, and software domains and drive first-pass yield in a fast-paced lab environment.

Ideal candidates have 7+ years building electromechanical systems outside a simulator, plus deep firmware and tooling experience. Travel to build sites is expected.

Qualifications

• BS in Mechatronics, Electrical, Mechanical, Robotics, Manufacturing, or Computer Engineering.
• 7+ years building, debugging, and transitioning electromechanical systems from prototype into volume.
• Proficiency in C/C++ for embedded targets and Python for tooling, station software, and analysis.

Responsibilities

• Lead bring-up of new platforms, actuator generations, and subassemblies: power-on, firmware flashing, calibration, sensor validation, closed-loop tuning, and first motion.
• Integrate subsystems end to end — actuators, encoders, IMUs, tactile and force sensing, cameras, power distribution, comms buses (CAN/CAN-FD, EtherCAT, SPI/I2C, Ethernet).
• Own system-level behavior and interfaces: define and hold the mechanical, electrical, and software interface contracts between subsystems.
• Debug hard, cross-domain problems—intermittent faults, noise and grounding issues, timing and latency, thermal behavior.
• Write and modify embedded firmware and host-side tooling (C/C++, Python) for bring-up, calibration, diagnostics, and data capture.
• Own the integration test plan: define what 'working' means per subsystem, automate checks, and keep them passing as designs change.

Skills

Embedded systems

C/C++ programming

Python for tooling

System integration

Firmware bring-up

AI tooling mindset

Electrical & mechanical debugging

Hands-on hardware testing

Documentation & work instructions

Education

BS in Mechatronics, Electrical, Mechanical, Robotics, Manufacturing, or Computer Engineering

Job description

At Meta, we're building the future of human connection and the technology that enables it, continuously inventing for the next generation of experiences. To move toward advanced machine intelligence, we're enabling AI to go beyond vision and interact with the physical world. As we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across robotics hardware, system software, machine perception, and artificial intelligence. You'll tackle open problems in robotics and AI, with the opportunity to shape new ways people connect around the world. Hardware fails at the seams — where mechanical, electrical, firmware, and software meet, and again where a working prototype meets a repeatable build process. This role owns both. You will bring up new hardware in the lab, then carry it forward into a manufacturable, testable, scalable product: defining the build and test process, standing up the stations that verify it, and driving yield, throughput, and first-pass quality as volumes grow. It is a deliberately blended role for someone who can debug a one-off unit on the bench in the morning and improve a process that has to work on the hundredth unit in the afternoon.

Systems Integration Engineer, Embedded Systems / Mechatronics Responsibilities:

• Lead bring-up of new platforms, actuator generations, and subassemblies: power‑on, firmware flashing, calibration, sensor validation, closed‑loop tuning, and first motion
• Integrate subsystems end to end — actuators, encoders, IMUs, tactile and force sensing, cameras, power distribution, comms buses (CAN/CAN‑FD, EtherCAT, SPI/I2C, Ethernet), and onboard compute
• Own system‑level behavior and interfaces: define and hold the mechanical, electrical, and software interface contracts between subsystems, and arbitrate the tradeoffs when they conflict
• Debug hard, ambiguous, cross‑domain problems — intermittent faults, noise and grounding issues, timing and latency, thermal behavior, mechanical compliance masquerading as a control problem
• Write and modify embedded firmware and host‑side tooling (C/C++, Python) for bring‑up, calibration, diagnostics, and data capture
• Own the integration test plan: define what 'working' means per subsystem, automate the checks, and keep them passing as the design changes underneath them
• Characterize system performance against spec — accuracy, bandwidth, torque and thermal envelope, latency, power — and feed the gaps back to design as concrete requirements
• Build the data path: logging, telemetry, and analysis tooling that turns robot runs and test builds into duty‑cycle, performance, and reliability evidence the team can design against
• Contribute to functional safety — including risk assessment, safety review participation, and validation of safe‑state behavior
• Carry your own designs and integrations into a repeatable build: define the assembly and calibration sequence, the acceptance criteria at each stage, and the work instructions behind them
• Design, build, and deploy test stations and end‑of‑line test: fixturing, harnesses, DAQ, load application, station software, limits, and the data logging behind them
• Drive first‑pass yield and cycle time on the builds you own: find the top failure contributors and close them with design, firmware, process, or fixture changes
• Establish calibration and traceability at scale — per‑unit calibration data, serialization, and a data trail that supports later failure analysis and field investigations
• Bring DFM/DFA and DFT thinking into design reviews — testability, tolerance realism, and assembly practicality, pushed in before the design is locked
• Support NPI builds hands‑on (EVT/DVT/PVT) and partner with CMs and suppliers on process transfer, station duplication, and incoming quality
• travel to build sites as needed
• Partner with design ME/EE/FW, controls, quality, manufacturing engineering, and lab operations
• document interfaces and processes so integration knowledge does not live in one person's head

Minimum Qualifications:

• BS in Mechatronics, Electrical, Mechanical, Robotics, Manufacturing, or Computer Engineering, or equivalent
• 7+ years building, debugging, and transitioning real electromechanical systems from prototype into volume — systems that had to work outside a simulator and be built more than once
• Proficiency in C/C++ for embedded targets and Python for tooling, station software, and analysis
• AI-native working style: uses AI coding agents and LLM tooling as a default part of the job — to scaffold bring‑up scripts, station software, and log‑analysis pipelines, mine large run and build datasets for failure signatures, and draft work instructions, test plans, and interface documentation — while independently validating every AI‑produced result against the hardware and the data before it drives a build or a design decision
• Hands‑on electronics skills: reading schematics, bring‑up of custom boards, soldering, harness fabrication, oscilloscope/logic‑analyzer/DMM debugging
• Demonstrated ownership of a test station or automated test process you designed, deployed, and maintained for others to use
• Practical experience with at least one real‑time comms bus (CAN/CAN‑FD, EtherCAT, RS‑485, SPI/I2C) and with motor drives or servo systems
• Working understanding of closed‑loop control: PID, feedforward, current/velocity/position cascades, filtering, and why a tuned gain set stops working when the mechanics change
• Mechanical literacy: reading GD&T‑annotated drawings, CAD (Creo, SolidWorks, or similar), tolerance stack‑ups, fastener and preload basics
• Experience writing work instructions, test plans, and process documentation others actually follow
• Disciplined software habits — version control, code review, reproducible scripts

Preferred Qualifications:

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience in a fast prototype environment where you specified and procured your own hardware
• Manufacturing engineering depth: yield and Pareto analysis, SPC, process capability (Cp/Cpk), MSA/Gage R&R, PFMEA, control plans, 8D
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience bringing up humanoid, legged, or high‑DOF robots, or high-performance actuators
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Functional safety experience: ISO 13849 / ISO 10218 / IEC 61508, safety relays and STO, risk assessment authoring
• Motor control depth: FOC, commutation and encoder calibration, torque‑constant and friction characterization
• Experience through a full NPI cycle (EVT - DVT - PVT - MP) on an electromechanical product, including CM or supplier process transfer
• EMC/EMI, grounding and shielding, and power‑integrity troubleshooting on mobile platforms
• ROS 2 / real‑time Linux, MCAP or similar log formats, and robot data infrastructure
• MES/manufacturing data systems, station data pipelines, and yield dashboards
• Test automation at scale — HIL rigs, automated regression on physical hardware, fleet dashboards

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affidavit 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 [e-mail].

$173,000/year to $245,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.