About the role
Nvidia is looking for an outstanding Senior Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team — the people who build tomorrow’s NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern NVIDIA GPU. You will be the software-craftsmanship anchor of a small Software team inside A&A. You will craft and implement the core components developed using C++ alongside Python. These components support our research and product paths. You will raise the engineering bar across the group. You will also guide research code through to the shipping NVENC/NVDEC SDK.
This is a hybrid role — 4 days per week from the office.
What You'll Be Doing
- Work closely with our Architects and Algorithms Engineers to understand the needs and build, implement and/or optimize the most elegant solutions — in modern C++ and Python
- Set the bar for what “good software” means inside A&A: reviewing code, mentoring engineers from non-software backgrounds, and bringing the rest of the group up with you
- Implement detailed, focused “tweaks” into the SDK and the wider video stack. These changes let researchers test new ideas without forking the world. Walk research code through to a shipping NVENC/NVDEC release when needed.
- Profile and optimize critical paths in the codec stack; reach for CUDA when CPU-side optimization is not enough
- Build and sharpen the small libraries, frameworks and tools the team uses every day, and make sure they are a joy to work with
What We Need To See
- B.Sc. in Computer Science or Electrical/Computer Engineering
- 8+ years of relevant proven experience (or 5+ years and a relevant M.Sc.)
- Proficiency in modern C++ (C++14/17/20) — templates, RAII, concurrency, move semantics, the standard library, the works
- Proficiency in Python — idiomatic, performant, well-tested, with a strong sense of what is appropriate for C++ and what suits Python
- Strong software design instincts and a real care for code quality: APIs, modularity, testability, clean abstractions, performance, the long tail of maintainability
- Experience working on Linux as a development platform — CMake, Git, debuggers, profilers, sanitizers
- Experience with optimizing Algorithmic code with different methods such as Multi-Threading/Multi-Processing, SIMD, C++, C, etc
Ways To Stand Out From The Crowd
- Familiarity with video compression / codecs (NVENC, NVDEC, FFmpeg, GStreamer, x264/x265, AV1, VVC)
- CUDA or GPU programming experience
- Experience embedding Python in C++ (pybind11, nanobind) or building Python extensions
- Extensive ‘mileage’ with C++/Python Algorithmic Frameworks such as OpenCV, Numpy, SciPy, CuPy, matplotlib, TensorFlow, PyTorch, etc.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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