Software Engineering Intern, Physics Simulation - 2026 at NVIDIA

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, Robotics, AIIndustries

Requirements

Pursuing an MS or PhD in Computer Science, Robotics, Physics or related field
Proficient analytical abilities, especially in analysis, linear algebra, numerical algorithms, and physics
Advanced skills in Python and C++ programming, ideally with experience using AI-assisted development tools
Ability to independently and efficiently debug code
Solid foundation in software engineering best practices
Capability for self-directed work and persistence when faced with complex problems
Ways to Stand Out
In-depth knowledge of physics engines like PhysX, MuJoCo, or Newton
Hands-on experience with robotic manipulation and deep learning techniques for robotics
Experience with NVIDIA’s robotics software stack, such as Isaac Sim and Isaac Lab
Familiarity with NVIDIA Warp and CUDA programming

Responsibilities

Collaborate with lead robotics and simulation engineers to develop a new feature or integration prototype
Test and validate the prototype in experiments using robotics software stacks and/or robotic hardware
Work in a large code base in a team of senior engineers

Skills

Key technologies and capabilities for this role

PythonC++Linear AlgebraNumerical AlgorithmsPhysics SimulationPhysXMuJoCoIsaac SimIsaac LabNVIDIA WarpCUDARoboticsDeep Learning

Questions & Answers

Common questions about this position

What education level is required for this internship?

You must be pursuing an MS or PhD in Computer Science, Robotics, Physics, or a related field.

What programming skills are needed for this role?

Advanced skills in Python and C++ programming are required, ideally with experience using AI-assisted development tools.

Is this a remote position or does it require being on-site?

This information is not specified in the job description.

What does the team environment look like?

You will work hand-in-hand with physics and robotics software engineers in a team of senior engineers on a large code base.

How can I make my application stand out?

Highlight in-depth knowledge of physics engines like PhysX, MuJoCo, or Newton; hands-on experience with robotic manipulation and deep learning; experience with NVIDIA’s robotics software stack; or familiarity with NVIDIA Warp and CUDA programming. Apply early as applications are reviewed on a rolling basis until November 29, 2025.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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 include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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