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
- 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
- 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 Required
- B.Sc. in Computer Science or Electrical/Computer Engineering
- 8+ years of relevant experience or 5+ years with a relevant M.Sc.
- Proficiency in modern C++ (C++14/17/20)
- Proficiency in Python
- Strong software design instincts and care for code quality
- Experience working on Linux as a development platform
- Experience with optimizing algorithmic code
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
