嵌入式系统软件工程师

Collaborate with cross-functional teams (product, design, operations, infrastructure) to help Meta's AI model build platforms for Android, Linux & RTOSes (Zephyr, FreeRTOS)

Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews

Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members

Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

Establish ownership of components, features, or systems with expert end-to-end understanding

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

8+ years of experience in embedded software engineering, including development in C or C++ for resource-constrained systems

Experience developing and debugging software across multiple embedded platforms, including RTOS environments and Linux or AOSP on application processors

Experience writing device drivers or hardware abstraction layers for peripherals such as sensors, power management ICs, displays, or communication buses (I2C, SPI, UART, USB)

Experience building telemetry, logging, or monitoring infrastructure to track embedded system health and diagnose production issues at scale

Experience developing automated test infrastructure for embedded systems, including hardware-in-the-loop testing, on-device automation, or CI pipelines targeting embedded targets

Experience debugging complex cross-layer embedded issues using tools such as JTAG debuggers, logic analyzers, oscilloscopes, or static analysis tools

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 working with AI coding assistants and evaluating their output for correctness, safety, and adherence to embedded development standards

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

kernel internals (Android or Linux or RTOS), plus device driver development across common subsystems

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience collaborating with silicon or chipset vendors on firmware bring-up, reference design adaptation, and hardware errata mitigation

Experience in leveraging AI tools to accelerate embedded development workflows, automate diagnostics, or improve code quality and test coverage

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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.

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

8+ years of experience in embedded software engineering, including development in C or C++ for resource-constrained systems.