Software Engineering Intern, Neural Rendering - 2026 at NVIDIA

Munich, Bavaria, Germany

Apply Now

Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, AI, RoboticsIndustries

Requirements

Pursuing MS or PhD in Computer Science, Computer Engineering, or a related area with a focus on computer graphics, computer vision, or machine learning
Hands-on technical knowledge on Neural Reconstruction, and Generative Models such as image and video diffusion models
Proven experience with Python and Pytorch as well as CUDA/Slang
Strong experience in robotic systems such as autonomous vehicles or humanoid robotics
Good software engineering fundamentals (source control, testing/validation, containerization)
Strong communication and interpersonal skills along with the ability to work in a dynamic, product- and research-focused team

Responsibilities

Design and implement novel algorithms that enhance the real-to-sim quality, using state-of-the-art reconstruction and generative techniques
Optimize the reconstruction training and rendering runtime towards speed of light
Contribute to a large codebase, combining Python and CUDA
Close collaboration with experienced engineering and research team members
Contribute to NVIDIA NuRec and other core NVIDIA products and libraries
Publish and present results in internal or external conferences and articles

Skills

Python

CUDA

PyTorch

Neural Reconstruction

Generative Models

Computer Graphics

Computer Vision

Machine Learning

3D Reconstruction

High-Performance Computing

Software Engineering

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.

Land your dream remote job 3x faster with AI

Try Jobo Free