Software Engineer, Video SWE

Summary:

Meta's Wearables Media Codec and Framework team develops the video encoding and media capture software that powers wearable experiences. We are looking for a Video Codec Software Engineer to build and optimize codec implementations and hardware-accelerated media pipelines for resource-constrained devices like smart glasses.In this role, you will own technical problems from camera capture through encoding, media containers, and audio/video synchronization. You will balance compression efficiency, visual quality, latency, power consumption, thermal limits, and memory usage, working across media frameworks, firmware, and kernel drivers. Partnering with camera, hardware, and silicon teams, you will help define the architecture and technical direction of wearable media systems.

Required Skills:

Software Engineer, Video SWE Responsibilities:

1. Architect, implement, and troubleshoot video codec and media capture pipelines for wearable devices, from camera capture through encoding and media output

2. Develop, configure, and tune video encoders, including rate control and compression algorithms, to improve encoding efficiency and visual quality

3. Optimize codec performance within device power, thermal, latency, and memory constraints, using profiling and measurement to evaluate trade-offs

4. Integrate hardware-accelerated video codecs with mobile and embedded media stacks, working across application processor frameworks, firmware, and kernel drivers

5. Develop and improve media container handling, timestamp management, and audio/video synchronization across the capture and encoding pipeline

6. Diagnose and resolve video artifacts, synchronization issues, and performance regressions through codec-level and end-to-end system debugging

7. Lead technical design and execution for complex media projects, partnering with camera, hardware, and silicon teams to define interfaces, resolve integration challenges, and guide technical roadmaps

8. Build and improve automated tests and regression infrastructure for code correctness, visual quality, performance, and power consumption

Minimum Qualifications:

Minimum Qualifications:

1. 7+ years software development experience in industry settings or PhD with 4+ years of experience

2. 3+ years relevant video software engineering experience in industry settings with understanding of multimedia stack, codecs, containers

3. Experience in C/C++ multithreaded programming

4. Experience in C/C++ multithreaded programming

5. Experience leading large or complex projects, defined goals and delivered milestones by leading teams

Preferred Qualifications:

Preferred Qualifications:

1. Experience with image compression and formats such as JPEG, HEIC/HEIF, or raw/Bayer compression

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

3. Experience developing automated media regression tests or working with codec tools and libraries such as FFmpeg, libavcodec, x264/x265

4. Experience integrating hardware-accelerated video encoding on mobile or low-power systems-on-chip, using media interfaces such as Android MediaCodec, Codec2, OpenMAX, or V4L2

5. Knowledge of codec internals, including rate control, motion estimation, intra/inter prediction, rate-distortion optimization, and bitstream analysis

6. Experience with media-path firmware or kernel drivers, camera capture integration, or direct collaboration with silicon vendors on hardware-software integration

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

8. Experience evaluating visual quality using metrics such as PSNR, SSIM, or VMAF, and diagnosing compression artifacts and quality regressions

9. Experience with media containers such as MP4/ISOBMFF, muxing and demuxing, timestamp management, and audio/video synchronization

10. Experience designing and optimizing media software within power, thermal, latency, and memory bandwidth constraints on wearable, mobile, or embedded devices

11. Experience implementing, configuring, or tuning production video encoders using standards such as H.264/AVC, H.265/HEVC, VP9, AV1

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

Public Compensation:

$183,997/year to $257,000/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].