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.
