Nvidia
SeniorSoftwareEngineer-Python&C++
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optimal for Senior candidates.
“Senior Software Engineer - Python & C++ at Nvidia. Skills: Python, C++, Video/Multimedia Architecture & Algorithms, NVENC, NVDEC. craft and implement the core components developed using C++ alongside Python. support research and product paths”
What You'll Achieve.
build tomorrow’s NVENC and NVDEC; guide research code through to the shipping NVENC/NVDEC SDK; raise the engineering bar across the group; let researchers test new ideas without forking the world
Industry & Context.
optimize the most elegant solutions; optimize critical paths in the codec reach for CUDA
What They're Looking For.
Must Have
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 sense of what is appropriate for C++ and what suits Python, 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
Nice to Have
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.
What You'll Do.
craft and implement the core components developed using C++ alongside Python
support research and product paths
raise the engineering bar across the group
guide research code through to the shipping NVENC/NVDEC SDK
implement and/or optimize the most elegant solutions — in modern C++ and Python
mentoring engineers from non-software backgrounds
bringing the rest of the group up
focused “tweaks” into the SDK and the wider video stack
Walk research code through to a shipping NVENC/NVDEC release
Profile and optimize critical paths in the codec reach for CUDA when CPU-side optimization is not enough
Build and sharpen the small libraries
frameworks and tools the team uses every day
How You'll Work.
Team & Collaboration
Work closely with our Architects and Algorithms Engineers; mentoring engineers from non-software backgrounds; bringing the rest of the group up with you
Full Job Description
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
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