Internship

Software Engineering Intern

Generalist Embodied Agents Research, Fall 2024

Posted on 6/12/2024

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

No salary listed

Company Historically Provides H1B Sponsorship

Remote in USA

The job is located at NVIDIA, and the intern will work with a collaborative research team at the Generalist Embodied Agent Research (GEAR) group.

Category
Embedded Engineering
Software QA & Testing
Software Engineering
Required Skills
Python
Tensorflow
CUDA
Requirements
  • Pursuing a Bachelors, Masters, or PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
  • Outstanding engineering skills for rapid prototyping and product development. Python is required; C++ and CUDA proficiencies are a plus.
  • Knowledge in machine learning frameworks like PyTorch, Jax, Tensorflow and/or robotics frameworks like ROS.
  • Experience with at least one of the following areas: large-scale AI systems or practical robotics systems.
Responsibilities
  • Work with world-class researchers at NVIDIA to develop robust AI solutions for general-purpose humanoid robots and embodied agents.
  • Develop large-scale AI training and inference infrastructure for foundation models.
  • Develop robust and scalable data pipelines.
  • Systematically evaluate and analyze AI models in physical simulation and on robot hardware.
  • Collaborate with research and engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stacks.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms for developers and data scientists. NVIDIA's products work by providing powerful processing capabilities that enable complex graphics rendering and data analysis. Unlike many competitors, NVIDIA focuses on a wide range of applications, from gaming to AI, and offers cloud-based services that enhance the usability of their hardware. The company's goal is to drive innovation in technology and provide advanced solutions that meet the needs of diverse clients, including gamers, researchers, and enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Lepton AI enhances NVIDIA's cloud service offerings and AI market position.
  • Investment in nEye Systems aligns with improving data transfer efficiency in data centers.
  • Backing SandboxAQ suggests strategic interest in quantum computing for future AI innovations.

What critics are saying

  • Emerging competition from startups like nEye Systems challenges NVIDIA's AI hardware dominance.
  • Integration challenges may arise from acquiring Lepton AI with its distinct focus.
  • Investment in SandboxAQ may not yield immediate returns due to nascent quantum technology.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in gaming and professional visualization markets with innovative solutions.
  • NVIDIA's cloud services, like CloudXR, offer scalable AI and machine learning applications.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

0%
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