NVIDIA's technology is at the heart of AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and voice-powered intelligent assistants! Join a diverse applied research team that is building a next generation of Conversational AI systems.
We work on new language models for code and mathematics reasoning. Our team crafted the math reasoning model which won the latest Kaggle AI MO competition. We also develop algorithms to accelerate training large models on our GPU cloud. We release new models as part of NeMo - open-source toolkit for Conversational AI used by many companies for such applications as customer service, voice assistants, etc. We collaborate with research and product teams, as well as researchers from top academic machine learning labs.
What you'll be doing:
Develop new Deep Learning models for on new language models for code and mathematics reasoning,
Design new large scale training algorithm
Open-source models using NeMo conversational AI frameworks
Mentor interns
Publish research papers on top AI conferences
Collaborate with universities and research teams.
What we need to see:
PhD in Computer Science or Electrical Engineering with specialization in Deep Learning
2+ years of research experience in Deep Learning theory and applications
Excellent Python programming skills
Experience with PyTorch
Strong publications record in Deep Learning
Ways to stand out from the crowd:
Contribution to open-source projects
Being reviewers for one of the top speech conferences
NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all
Skills Required
- PhD in Computer Science or Electrical Engineering with specialization in Deep Learning
- 2+ years of research experience in Deep Learning theory and applications
- Excellent Python programming skills
- Experience with PyTorch
- Strong publications record in Deep Learning
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.”
