Full-Time

Research Scientist – New College Grad 2025

Robotics

Posted on 11/15/2024

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

Seattle, WA, USA + 1 more

More locations: Santa Clara, CA, USA

The NVIDIA Robotics Research Lab operates in Seattle, Washington, and Santa Clara, California.

Category
Robotics and Automation Engineering
Mechanical Engineering
Required Skills
Python
CUDA
Pytorch
C/C++
Computer Vision
Data Analysis
Requirements
  • Completing or recently completed PhD in Robotics, Computer Science, Engineering or related field (or equivalent experience)
  • 3+ years of relevant research or work experience in one of the above mentioned focus areas.
  • Knowledge of theory and practice of robotics, or a related area with a strong interest in connecting your work to robotics scenarios.
  • A track record of research excellence with your work published in top conferences and journals such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI).
  • Exceptional programming skills in Python, PyTorch, or JAX. Fluency in C/C++; CUDA and robotics frameworks such as ROS is a plus.
  • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research focused team. A demonstrated history of mentoring junior engineers and interns is a huge plus.
Responsibilities
  • The lab focuses on fundamental research questions in robotics, and lab members are encouraged to publish their research and open source their code.
  • The lab hosts numerous internships every year to foster education and communication, and the team collaborates broadly with institutions outside of NVIDIA, both academic and industrial.

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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