Senior Applied Research Scientist

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $216k
$133k most similar roles pay here $279k

This role pays more than 65% of similar roles. Most pay $158,387–$234,150 — the shaded band above. At the midpoint, this role pays about $216k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 928 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 915 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Applied Research Scientist

NVIDIA seeks senior research scientists and engineers to join its pioneering team in developing large-scale foundation models for life sciences, focusing on drug discovery, genomics, proteomics, and medical chemistry. Ideal candidates will design and train machine learning models at the intersection of these fields, conduct experimental designs to probe model capabilities, mentor colleagues, lead initiatives, and collaborate with hardware and software teams to enhance NVIDIA’s platforms. They should have a PhD or equivalent experience in Computer Science or Computational Biology, along with 2+ years in deep learning, bioinformatics, or related areas. Strong hands-on skills in designing, training, and evaluating large neural networks using modern AI techniques such as deep learning for sequences, diffusion models, and LLMs are essential, alongside expertise in Python, C++, and a thorough understanding of biochemistry and drug discovery.

What you'll do

  • Design and train large-scale machine learning models at the intersection of genomics, proteomics, and chemistry.
  • Conduct experimental design to assess capabilities and limitations of developed foundation models.
  • Mentor team members and lead research initiatives in drug discovery and life sciences.
  • Collaborate with hardware and software teams to enhance NVIDIA’s platforms for AI applications.
  • Engage with academic researchers through publications, presentations, and collaborative projects.

What we're looking for

  • PhD in Computer Science or Computational Biology with relevant experience.
  • Deep expertise in modern AI techniques like deep learning and unsupervised methods.
  • Strong background in biochemistry, drug discovery, molecular biology, or chemical engineering.
  • Hands-on experience designing, training, and evaluating large neural networks.
  • Excellent software engineering skills in Python, C++, or similar languages.
  • Proven track record of excellence in both research and engineering.

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