Full-Time

Research Scientist – New College Grad 2025

AI for Climate & Weather Simulation

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$160k - $253kAnnually

+ Equity

Entry

Santa Clara, CA, USA

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Pytorch
Requirements
  • Ph.D. in the geophysical sciences, computer science, applied math/statistics, or related fields (or equivalent experience).
  • Outstanding research portfolio including first-author publications that make good use of AI.
  • Proficiency with distributed deep learning training frameworks, e.g., PyTorch.
  • Strong software engineering skills.
  • Experience in scaling algorithms for high computational loads.
  • Experience developing in a changing software environment and ability to drive research projects end-to-end -- including the messy parts.
  • Expertise in climate domain science, nonlinear physics, or deep familiarity with associated synthetic and observational datasets and physical simulation systems.
  • Excellent communication skills.
Responsibilities
  • Propose, research, prototype and test innovative research ideas.
  • Publish groundbreaking work at top conferences and journals.
  • Collaborate with other research team members, internal product teams, external researchers and mentor interns.
  • Participate in technology transfer with engineers around NVIDIA as ideas graduate from research to product.
  • Make good use of top-of-the-line NVIDIA GPUs at scale for cutting edge research at the intersection of AI and climate science.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products, such as GPUs, are essential for high-performance computing and artificial intelligence applications. NVIDIA's GPUs work by processing large amounts of data simultaneously, making them ideal for tasks like gaming graphics and complex computations in AI and machine learning. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the capabilities of their products. The company's goal is to drive innovation in AI and HPC, providing advanced solutions that cater to a wide range of clients, from gamers to researchers and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

13%

1 year growth

25%

2 year growth

42%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's diverse investment portfolio offers employees exposure to cutting-edge technologies and industries, fostering a dynamic and innovative work environment.
  • The company's strategic acquisitions and partnerships provide opportunities for professional growth and cross-industry collaboration.
  • NVIDIA's strong financial backing and market leadership ensure stability and resources for continued innovation and development.

What critics are saying

  • NVIDIA's expansion into various sectors may dilute its focus and resources, potentially impacting its core GPU business.
  • The competitive landscape in AI, robotics, and autonomous vehicles is intense, posing challenges for NVIDIA to maintain its leadership position.

What makes NVIDIA unique

  • NVIDIA's strategic investments in diverse sectors like robotics, AI disease modeling, and driverless trucks highlight its commitment to pioneering technologies beyond its core GPU business.
  • The acquisition of Shoreline.io, a software startup, indicates NVIDIA's focus on enhancing its software capabilities, setting it apart from competitors primarily focused on hardware.
  • NVIDIA's involvement in significant funding rounds for companies like Mistral AI and Bright Machines showcases its influence and leadership in the AI and intelligent manufacturing sectors.

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