• Embedded Software Engineer (PhD)

    Meta (Burlingame, CA)


    Summary:

    At Meta, we're building innovative products that make it easier for people to connect with each other and enjoy immersive experiences. Our team of world-class experts is developing and shipping products at the intersection of hardware, software, and content, pushing the future of computing platforms and redefining the way people work, play, and connect. As an Embedded Software Engineer, you'll have the opportunity to design, develop, and optimize embedded firmware systems for our AR, VR, and wearable devices, working on low-level systems software and connectivity protocols. You'll collaborate with cross-functional teams to solve complex problems and drive innovation in areas such as real time audio and machine learning, helping to shape the future of technology and create new experiences for augmented reality, virtual reality, and social/family products.

    Required Skills:

    Embedded Software Engineer (PhD) Responsibilities:

    1. Design and implement real time solutions in an audio space

    2. Participate in hardware bring-up, peripheral drivers and communication, power and performance management, and optimization efforts

    3. Bring up and test new hardware, develop and maintain peripheral drivers and communication systems, and optimize on-device power usage and runtime performance.

    4. Develop functionality and services that operate efficiently in constrained environments and deliver large volumes of data with low-latency and high-bandwidth

    5. Debug complex, system-level, multi-component issues that span multiple layers from bare metal to application

    6. Profile performance problems and drive optimizations

    7. Analyze, design, develop, and debug firmware for a wide variety of devices, including novel sensing and imaging systems, haptic devices, and audio prototypes

    8. Collaborate closely with cross-functional teams, platform framework teams, partner firmware teams, and algorithm and model development teams

    Minimum Qualifications:

    Minimum Qualifications:

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

    10. Currently in the process of obtaining a PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

    11. Demonstrated experience working across disciplines to drive optimal solutions

    12. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

    Preferred Qualifications:

    Preferred Qualifications:

    13. Experience in a large-scale C/C++ code base

    14. Experience with real-time audio systems

    15. Experience integrating machine learning into embedded applications

    16. Experience with embedded DSP, CPU, and GPU architectures

    17. Coding experience with peripherals such as UART, SPI, I2C, GPIO

    18. Experience with lab instrumentation such as oscilloscopes, logic/protocol analyzers for debugging embedded systems at HW level

    19. Experience working with embedded hardware platforms and exposure to concepts such as clock-level issues, interrupts, and polling

    Public Compensation:

    $117,000/year to $173,000/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 [email protected].