NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like generative AI, computer vision, speech recognition, recommender systems, and large-scale language and multimodal models. Join the team building the inferencing software (TensorRT/TensorRT-LLM) that will be used across our product lines. The ability to work in a fast-paced, delivery-focused environment is required, and excellent interpersonal skills are a must.
What you'll be doing:
Design and develop robust inferencing software (TensorRT/TensorRT-LLM) optimized for functionality and performance across platforms
Perform performance analysis, optimization, and tuning of deep learning inference workloads
Track and integrate academic and industry advancements in AI and feature-update TensorRT/TensorRT-LLM accordingly
Provide feedback into architecture and hardware design and development
Collaborate across hardware, software, and research teams to shape the direction of machine learning inferencing across NVIDIA platforms
Own and deliver technical work with scope based on experience, ranging from complex features to substantial parts of larger projects, with increasing independence and technical leadership over time
Publish key technical results at leading scientific and engineering conferences
What we need to see:
Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused field (or equivalent experience)
Strong Python or C/C++ programming and software design experience, including debugging, performance profiling, and test design
2+ years working experience
Strong curiosity about artificial intelligence and familiarity with the latest developments in deep learning — including generative models, multimodal systems, and large neural networks
Experience working with deep learning frameworks such as PyTorch, TensorRT/TensorRT-LLM, SGLang or vLLM
Proactive, self-driven, and able to work independently
Excellent written and verbal communication skills in English
Demonstrated ability, commensurate with experience, to take technical ownership, solve complex problems, and contribute effectively in cross-functional environments
NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and compute systems excite you? Interested in getting exposure to the entire deep learning software stack? Come join us and help build the GPU-accelerated AI platform used worldwide.
Skills Required
- Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience
- Strong Python or C/C++ programming and software design experience, including debugging, performance profiling, and test design
- 2+ years working experience
- Familiarity with latest developments in deep learning including generative models, multimodal systems, and large neural networks
- Experience working with deep learning frameworks such as PyTorch, TensorRT/TensorRT-LLM, SGLang or vLLM
- Proactive, self-driven, and able to work independently
- Excellent written and verbal communication skills in English
- Demonstrated ability to take technical ownership, solve complex problems, and contribute effectively in cross-functional environments
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.”
