NVIDIA Corporation

Senior Applied Research Scientist

NVIDIA Corporation$168K — $304K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science or Computational Biology, or equivalent experience
  • 2+ years in deep learning, bioinformatics, or related fields
  • Proven excellence in engineering and research
  • Expertise in AI techniques like deep learning and LLMs
  • Strong software engineering skills in Python, C++, or similar
  • Advanced knowledge in biochemistry, drug discovery, or chemical engineering

Responsibilities

  • Design and train large-scale machine learning models in genomics and chemistry
  • Conduct experimental design to probe model capabilities
  • Mentor team members and lead strategic research initiatives
  • Collaborate with hardware and software teams for platform improvements
  • Engage with the research community through publications and presentations

Benefits

  • Equity options available
  • Comprehensive benefits package
  • Opportunity for collaboration with a leading research community
  • Engagement in cutting-edge AI applications in life sciences
  • Supportive and diverse work environment
Full Job Description
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


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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