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Responsibilities
- Architect, implement, and troubleshoot video codec and media capture pipelines for wearable devices, from camera capture through encoding and media output
- Develop, configure, and tune video encoders, including rate control and compression algorithms, to improve encoding efficiency and visual quality
- Optimize codec performance within device power, thermal, latency, and memory constraints, using profiling and measurement to evaluate trade-offs
- Integrate hardware-accelerated video codecs with mobile and embedded media stacks, working across application processor frameworks, firmware, and kernel drivers
- Develop and improve media container handling, timestamp management, and audio/video synchronization across the capture and encoding pipeline
- Diagnose and resolve video artifacts, synchronization issues, and performance regressions through codec-level and end-to-end system debugging
- 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
- Build and improve automated tests and regression infrastructure for code correctness, visual quality, performance, and power consumption
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field
- 7+ years software development experience in industry settings or PhD with 4+ years of experience
- 3+ years relevant video software engineering experience in industry settings with understanding of multimedia stack, codecs, containers
- Experience in C/C++ multithreaded programming
- Experience in C/C++ multithreaded programming
- Experience leading large or complex projects, defined goals and delivered milestones by leading teams
Preferred Qualifications
- Experience with image compression and formats such as JPEG, HEIC/HEIF, or raw/Bayer compression
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience developing automated media regression tests or working with codec tools and libraries such as FFmpeg, libavcodec, x264/x265
- 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
- Knowledge of codec internals, including rate control, motion estimation, intra/inter prediction, rate-distortion optimization, and bitstream analysis
- Experience with media-path firmware or kernel drivers, camera capture integration, or direct collaboration with silicon vendors on hardware-software integration
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience evaluating visual quality using metrics such as PSNR, SSIM, or VMAF, and diagnosing compression artifacts and quality regressions
- Experience with media containers such as MP4/ISOBMFF, muxing and demuxing, timestamp management, and audio/video synchronization
- Experience designing and optimizing media software within power, thermal, latency, and memory bandwidth constraints on wearable, mobile, or embedded devices
- Experience implementing, configuring, or tuning production video encoders using standards such as H.264/AVC, H.265/HEVC, VP9, AV1
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
$183,997/year to $257,000/year + bonus + equity + benefits
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