嵌入式系统集成工程师

Meta（Meta Platforms）岗位：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

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

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 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

Test automation at scale — HIL rigs, automated regression on physical hardware, fleet dashboards

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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.