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Neros Technologies

CODEC Video Compression Engineer/Developer

Torrance, California, United States$161.5k–$226kmidAdded 1 month ago

About this role

Neros is looking for a CODEC Video Compression Engineer/Developer to design and implement advanced low-latency video compression algorithms for real-time applications. The role involves collaboration with cross-functional teams to enhance video quality and efficiency in wireless transmission for drone systems.

What you'll do

  • Design dual CPU/GPU hybrid video compression encoder architecture
  • Develop and optimize video compression algorithms in C/C++ or similar languages
  • Implement and optimize encoder/decoder pipelines for real-time use
  • Conduct performance benchmarking and quality assurance testing
  • Collaborate with hardware/software teams for integration of CODEC solutions
  • Stay updated on emerging video standards and industry trends

What they're looking for

  • Bachelor’s or Master’s in Computer Science or related field
  • Understanding of video compression theory and standards
  • Codec implementation experience
  • Experience with hardware implementations (FPGAs, ASICs)
  • Proficiency in C/C++ and SIMD optimizations
  • Multithreading and performance profiling experience
  • Excellent problem-solving skills
  • Knowledge of backend development (FFmpeg, GStreamer) [optional]

Benefits

  • $120,000 - $220,000 salary range
  • Highly competitive equity grants
  • Equal opportunity employer
  • [unknown]
  • [unknown]
  • [unknown]
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Neros Technologies

Neros Technologies builds unmanned drone systems and advanced wireless products for military and defense applications. The company is hiring manufacturing engineers, quality specialists, RF engineers, network operations engineers, and hardware design experts to support drone production, testing, and secure defense infrastructure.

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Likely interview questions

  • Walk us through your experience implementing video codecs. What standards have you worked with (H.264, H.265, VP9, AV1), and what was your role in the encoder/decoder pipeline?
  • Describe a project where you optimized video compression for low-latency real-time streaming. What trade-offs did you make between quality, latency, and bandwidth?
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