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Posted 15 hours ago
CODEC Video Compression Engineer
NerosCODEC Video Compression Engineer/Developer
Requirements
Degree in CS or EE, Video compression theory knowledge, Codec implementation experience, System Verilog (HLS/C++), H.264/H.265/AV1 standards, FPGA/ASIC/GPU experience, C/C++ and SIMD proficiency
Skills
C#CUDA
About the role
About the Company
Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale.
Responsibilities
- Design and implementation of dual CPU/GPU hybrid video compression encoder architecture
- 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 and GPU
- Perform error handling
- Conduct performance benchmarking, debugging, and quality assurance testing
- Collaborate with hardware and software teams to integrate CODEC solutions using high-level synthesis or FPGA/ASIC design flows
- Stay updated on emerging video standards and compression techniques
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, and rate control
- Codec implementation experience in developing software and hardware for video encoding/decoding
- System Verilog experience (HLS/C++)
- Understanding of video compression standards (H.264, H.265/HEVC, H.266, VP9, AV1)
- Experience with hardware implementations (FPGAs, ASICs, DSPs) and GPU acceleration (CUDA, Vulkan, OpenCL)
- Strong proficiency in C/C++ and experience with SIMD optimizations (SSE, AVX, NEON)
- Experience with multithreaded programming and performance profiling tools
Preferred Qualifications
- Backend development experience with FFmpeg or GStreamer
- Knowledge of container formats (MP4, MKV, MPEG-TS)
- Experience with ML–based video enhancement or compression
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Neros · Torrance
