The application of modern AI techniques to drug discovery, is radically redefining the field. Genomics, proteomics, molecular dynamics, docking, and protein folding are just some of the areas that are affected. NVIDIA is building an outstanding team to invent the future of foundation models for life sciences. We are seeking senior research scientists and engineers to push the frontier of large-scale foundation models that natively speak the language of cells, biology, and chemistry. The ideal candidate has a strong background in the combination of modern machine learning techniques as applied to drug discovery, genomics, proteomics, or medical chemistry. This is a hands-on role for someone with deep technical expertise and a passion for advancing the state-of-the-art.
What you’ll be doing
Designing and training large-scale machine learning models at the intersection of genomics, proteomics, and chemistry
Experimental design for probing the capabilities and limitations of the foundation models that are developed
Mentoring other team members, leading research initiatives, and helping to craft strategic roadmaps
Working closely with hardware and software teams to improve NVIDIA’s platforms for large-scale foundation model applications
Engaging with the broader research community via publications, presentations, and research collaborations
What we need to see:
PhD (or equivalent experience) in Computer Science or Computational Biology
2+ years in deep learning, bioinformatics, chemical engineering, structural biology, or related fields.
Track record of excellence in engineering and research
Deep understanding of modern AI techniques: deep learning for sequences, diffusion models, LLMs, unsupervised learning. Hands-on practical know-how of how to design, train, and evaluate large neural networks.
Excellent software engineering and design instincts in Python, C++, or similar.
Outstanding expertise in biochemistry, drug discovery, molecular biology, chemical engineering, or related fields
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and 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
- PhD (or equivalent experience) in Computer Science or Computational Biology
- 2+ years in deep learning, bioinformatics, chemical engineering, structural biology, or related fields
- Track record of excellence in engineering and research
- Deep understanding of modern AI techniques (deep learning for sequences, diffusion models, LLMs, unsupervised learning); hands-on experience designing, training, evaluating large neural networks
- Excellent software engineering and design instincts in Python, C++, or similar
- Outstanding expertise in biochemistry, drug discovery, molecular biology, chemical engineering, or related fields
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.”
