Robotics Software Intern- Spatial Intelligence for Robotic Manipulation at NVIDIA

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Robotics, TechnologyIndustries

Requirements

Experience in scene understanding, 3D reconstruction, or robot mapping
Currently pursuing a degree in Computer Science, Robotics, Engineering, or a related field (MS or PhD)
High proficiency in at least one programming language (C++ or Python)
Knowledge of common tools and libraries for computer vision (i.e., PyTorch, OpenCV)
Academic classes or coursework in machine learning, computer vision, and/or robotics systems

Responsibilities

Review literature and investigate state-of-the-art methods for real-time neural, optimization-based, and feed-forward reconstruction for robotic manipulation
Collaborate with the team on implementing novel reconstruction techniques with application to robotic manipulation
Work in simulation, where ground-truth data is available to measure the system’s performance
Repeatedly quantify and improve the performance of the system
Deploy algorithms to real robot hardware
Work in a highly collaborative environment with a small robotics team

Skills

Key technologies and capabilities for this role

C++PythonPyTorchOpenCV3D ReconstructionScene UnderstandingRobot MappingGPU AccelerationRobotic Manipulation

Questions & Answers

Common questions about this position

Is this internship remote or does it require on-site work?

The role requires on-site presence in NVIDIA's Zurich office in Switzerland.

What are the required skills for this robotics software intern position?

Candidates need experience in scene understanding, 3D reconstruction, or robot mapping; currently pursuing a degree in Computer Science, Robotics, Engineering, or related field (MS or PhD); high proficiency in C++ or Python; knowledge of computer vision tools like PyTorch and OpenCV; and coursework in machine learning, computer vision, and/or robotics.

What is the salary for this internship?

This information is not specified in the job description.

What is the company culture like for this team?

The team works in a highly collaborative environment with a small robotics team.

What makes a candidate stand out for this internship?

Stand out with experience in neural reconstruction, previous robotics or computer vision internships, contributions to related software projects, academic publications, or experience with NVIDIA tools like CUDA, Warp, Isaac Lab, Isaac Gym, and ROS.

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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