Embedded Software Engineer, Firmware

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 experienced engineers 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, device drivers, and connectivity protocols such as Wi-Fi, Bluetooth, and Core Android networking. You'll collaborate with cross-functional teams to solve complex problems and drive innovation in areas such as computer vision, machine learning, and graphics, 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, Firmware Responsibilities:

1. Design and implement software components at all layers of the system, including kernel, synchronization primitives, resource allocators, memory management, security, I/O systems, persistence, etc

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

3. Lead hardware bring-up, peripheral drivers and communication, silicon integration, and power and performance management and optimization efforts

4. Debug complex, system-level, multi-component issues that span multiple layers from kernel to application

5. Profile performance problems and drive optimizations across the entire software stack

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

7. Collaborate closely with cross-functional teams, including silicon architects, hardware designers, OS team, and algorithm and model development teams

8. Understand and implement power-management, boot loaders, scheduling, inter-processor communication, computer vision, and firmware/system interfaces on RTOS and/or bare-metal environments

9. Design, develop, and architect models and infrastructure building blocks of Virtual Platforms, integrating internal models and vendor IP models

Minimum Qualifications:

Minimum Qualifications:

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

2. 5+ years software development experience in industry settings or PhD with 2+ years of experience

3. 3+ years embedded software development experience in industry settings

4. Experience in large-scale C/C++ code base

5. Demonstrated experience working across disciplines to drive optimal solutions

Preferred Qualifications:

Preferred Qualifications:

1. Hands-on coding experience with peripherals such as UART, SPI, CSI-2, i2c, GPIO, USB

2. Experience with silicon, device manufacturing, and low-power SoCs

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

4. Experience across topics including computer graphics, computer vision, or machine learning

5. Experience developing with modern Real Time Operating Systems

6. Experience with wireless and wired communication protocols,TCP/IP, Ethernet, Bluetooth and 802.11

7. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

8. Experience with prototyping or pre-silicon environments (FPGAs, simulation, or emulation)

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

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

11. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

12. Experience with compression, camera and video pipelines, or encoding technologies such as H.264

13. Experience with embedded microcontrollers, DSP, CPU, and GPU architectures

14. Experience with time synchronization methods at protocol and electrical levels

15. e.g. PTP, NTP, IRIG-B, LTC/SMPTE

16. Experience with active power management or power optimizations

Public Compensation:

$154,000/year to $217,000/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].