Full-Time

Research Scientist – New College Grad 2025

Digital Humans

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
Computer Vision
AI Research
AI & Machine Learning
Required Skills
Python
Tensorflow
CUDA
Pytorch
C/C++
Computer Vision
Requirements
  • Must hold a Ph. D. in Computer Science/Engineering, Electrical Engineering, etc. (or equivalent experience)
  • Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a plus.
  • Excellent skills in working with large-scale machine learning/AI systems and computing infrastructure.
  • Strong expertise in computer vision, machine learning, and computer graphics.
  • Background in 3D human reconstruction, human motion modeling, human-object interaction, generative modeling of humans, physics/neural simulators and cloth modeling is desirable.
  • Outstanding research track record.
  • Excellent communication skills.
Responsibilities
  • Research, design, and implement novel AI algorithms for digital humans.
  • Publish original and impactful research.
  • Work collaboratively with other team members and teams.
  • Work with product groups to transfer technology.
  • Collaborate with external researchers.
  • Mentor interns.

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.

Help us improve and share your feedback! Did you find this helpful?