We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for Inference. We seek excellent Software Engineers and Senior Software Engineers to join our team.
We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Collaborate with the deep learning community to implement the latest algorithms for public release in Tensor-RT. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary.
What you’ll be doing:
- Develop highly optimized deep learning kernels for inference
- Do performance optimization, analysis, and tuning
- Work with cross-collaborative teams across automotive, image understanding, and speech understanding to develop innovative solutions
- Occasionally travel to conferences and customers for technical consultation and training
What we need to see:
- Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI)
- SW Agile skills helpful
- Excellent C/C++ programming and software design skills
- Python experience a plus
- Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
- GPU programming experience (CUDA or OpenCL) desired
- 5 years of relevant work experience
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Skills Required
- Master’s degree, PhD, or equivalent experience in computer engineering, computer science and engineering, computer science, artificial intelligence, or a relevant discipline
- Excellent C/C++ programming and software design skills
- Performance modeling, profiling, debugging, code optimization, or CPU and GPU architectural knowledge
- Five years of relevant work experience
- Software Agile skills
- Python experience
- GPU programming experience with CUDA or OpenCL
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.”
