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Nvidia Genomics Jobs (NOW HIRING)

Nvidia

OR · On-site

NVIDIA is seeking a Senior Solutions Architect to help redefine drug discovery and biological ... Hands-on experience applying ML to at least one of these domains: genomics, quantum chemistry ...

Nvidia

OR · On-site

In this role, you will work directly with research labs to accelerate the adoption of NVIDIA ... Deep expertise in applying AI to protein design, genomics, transcriptomics, structural biology ...

Nvidia

OR · On-site

NVIDIA is powering the next era of artificial intelligence and accelerated computing, helping life ... genomics, clinical development, and biopharma R&D. * Develop joint business plans with ISV's and AI ...

Data Direct Networks

Senior Director of Sales

NY · Remote

... genomics, medical research, media, and telco companies * Lead, coach, and develop a team of 6-7 ... Drive pipeline generation through direct sales activity, channel partnerships, NVIDIA ecosystem ...

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Nvidia Genomics information

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$31K

$104K

$171.5K

How much do nvidia genomics jobs pay per year?

As of Jun 5, 2026, the average yearly pay for nvidia genomics in the United States is $104,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia Genomics Specialist, and why are they important?

To thrive as an Nvidia Genomics Specialist, you need a strong background in computational biology, bioinformatics, and genomics, typically supported by a relevant advanced degree. Expertise in GPU computing, programming (Python, CUDA), and familiarity with genomics data analysis tools and cloud platforms is essential. Strong problem-solving skills, collaboration, and the ability to communicate complex technical concepts clearly are highly valued. These skills enable the development and optimization of high-performance genomic workflows, driving innovation in large-scale biological data analysis.

How does the Nvidia Genomics role typically collaborate with interdisciplinary teams in large-scale projects?

Professionals in the Nvidia Genomics role frequently work alongside biologists, data scientists, and software engineers to develop and optimize genomic analysis workflows using Nvidia’s accelerated computing platforms. This collaboration often involves regular cross-functional meetings to align on project goals, troubleshoot computational challenges, and integrate new algorithms or tools. The ability to communicate complex technical concepts to team members from diverse backgrounds is essential, as is staying updated with advancements in both genomics and high-performance computing. Building strong working relationships with other departments is key to successfully translating research into scalable, real-world applications.

What is Nvidia Genomics?

Nvidia Genomics refers to the application of Nvidia’s advanced computing technologies, particularly GPUs, to accelerate genomics research and analysis. By leveraging powerful parallel processing and AI capabilities, Nvidia enables researchers and healthcare professionals to process large-scale genomic data more quickly and accurately. This technology is used in tasks such as DNA sequencing, variant calling, and personalized medicine, making genomics workflows faster and more efficient. Nvidia provides software frameworks and hardware solutions tailored for genomics, helping scientists tackle complex genetic problems and advance precision medicine.
Infographic showing various Nvidia Genomics job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $104,013 per year, or $50 per hour.
Senior Solutions Architect - Drug Discovery

Senior Solutions Architect - Drug Discovery

Nvidia

OR • On-site

Full-time

Posted 20 days ago

Job description

NVIDIA is seeking a Senior Solutions Architect to help redefine drug discovery and biological research through GPU-accelerated AI. This role will focus on enabling pharmaceutical and techbio customers to train, optimize, and deploy large biological foundation models using NVIDIA's accelerated computing platform, models and libraries. Our Solutions Architects are elite developers, scientists, and technical leaders who thrive at the intersection of science, AI, and customer engagement. As a trusted technical advisor, you will work with leading organizations across North America to accelerate AI/ML workflows in areas such as genomics, quantum chemistry, biomaterials science, and structural biology. You will help customers integrate accelerated libraries, scalable training frameworks, and high-performance computing techniques to improve training efficiency, reduce time to insight, and unlock new scientific capabilities.

What You Will Be Doing:

  • Partner with business and account teams to understand customer goals, scientific workflows, technical needs, and platform adoption strategies.

  • Architect and optimize AI/ML pipelines for training large biological foundation models, with a focus on BioNeMo libraries and GPU-accelerated software that improve training efficiency.

  • Build proof-of-concept demonstrations that show how NVIDIA software and hardware accelerate scientific discovery.

  • Collaborate across NVIDIA with subject matter experts, engineering, product, and field teams to bring the right technical expertise to customer engagements and deliver high-impact solutions.

  • Document best practices and teach others through technical enablement, partner training, whitepapers, blogs, internal wiki articles, and hands-on customer workshops.

  • Serve as a trusted technical advisor for integrating NVIDIA technologies into advanced biopharma and diagnostics applications.


What We Need To See:

  • MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, Computer Science, or a related technical field (or equivalent experience).

  • 8+ years of experience in software development for deep learning, GPU acceleration, or scientific computing applications.

  • Hands-on experience applying ML to at least one of these domains: genomics, quantum chemistry, biomaterials science, or structural biology.

  • Experience profiling and optimizing training workflows for large AI models, including performance tuning, distributed training, data pipelines, and GPU utilization.

  • Proficiency with Linux environments and experience working in HPC or accelerated computing environments, including Slurm and/or Kubernetes-based clusters.

  • Excellent communication skills, especially for presenting highly technical material to scientists, engineers, executives, and customer stakeholders.

  • A passion for working with forward-thinking customers, learning continuously, and staying at the forefront of AI for life sciences.


Ways To Stand Out From The Crowd:

  • Background with BioNeMo, NeMo, or related NVIDIA frameworks for training large biological or scientific foundation models.

  • Experience with Parabricks, RAPIDS-singlecell, ALCHEMI, cuEquivariance, cuEST, or related accelerated libraries.

  • Experience working with pharmaceutical or biotech companies

  • Demonstration of customer-facing technical leadership, including architecture reviews, executive briefings, technical workshops, or deployments at lighthouse accounts.

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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