CODEC Video Compression Engineer/Developer (Quant)

Neros Technologies • El Segundo, CA

8h • $120,000 - $220,000

About The Position

We are seeking a highly skilled CODEC Video Compression Engineer/Developer to build low cost FPV digital video, similar to DJI 04.
They will design, optimize, and implement low-latency advanced video compression algorithms while maintaining high visual quality, for real time video streaming application. You will work closely with cross-functional teams to deliver high-quality, low-latency wireless video. This role blends deep knowledge of video processing, mathematics, and software/hardware optimization to enable video transmission with minimum latency and reduced bandwidth usage.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
• Solid understanding of video compression theory, motion estimation, transform coding, MC DCT, VBSMC, entropy coding, and rate control
• Codec implementation experience in developing actual software and hardware that encodes and decodes video data according to a specific compression format
• Solid understanding of video compression standards (H.264, H.265/HEVC, H.266, VP9, AV1) and rate control algorithms
• Experience with hardware implementations using dedicated chips (FPGAs, ASICs, DSPs), and hybrid implementations using software for control logic with hardware accelerators GPUs (NVENC, NVDEC). Experience with GPU acceleration (CUDA, Vulkan, OpenCL)
• Strong proficiency in C/C++ and experience with SIMD optimizations (SSE, AVX, NEON)
• Front-end development for control of performance-critical code
• Experience with multithreaded programming and performance profiling tools, debugging, and performance optimization
• Excellent problem-solving skills and ability to work in a collaborative environment

Nice To Haves

• Backend development (FFmpeg framework, GStreamer)
• Knowledge of container formats (MP4, MKV, MPEG-TS)
• Experience with ML–based video enhancement or compression

Responsibilities

• Design and implementation of dual CPU/GPU hybrid video compression encoder architecture that can seamlessly combine SW and HW encoding engines
• Design, develop, and optimize video compression algorithms in C/C++, Assembly, Rust or similar languages
• Implement and optimize encoder/decoder pipelines for real-time applications
• Analyze and improve codec performance for speed, quality, and efficiency across CPU, GPU
• Perform error handling
• Conduct performance benchmarking, debugging, and quality assurance testing: Develop and use objective and subjective metrics to evaluate codec performance
• Collaborate with hardware and software teams to integrate CODEC solutions into products, using high-level synthesis, or FPGA/ASIC design flows
• Stay updated on emerging video standards, compression techniques, and industry trends

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level