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
You should have the following
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
System Verilog experience (HLS/C++)
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
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
Knowledge of container formats (MP4, MKV, MPEG-TS)
Experience with ML–based video enhancement or compression
US Salary Range
$161,500 - $226,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package.
We’re an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
About Neros Technologies
Aerospace & Defense
Neros Technologies is a defense technology company designing and manufacturing high-performance drones at scale, focused on rebuilding America's unmanned systems industrial base.