Developer Technology Engineer - New College Grad 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, AI, RoboticsIndustries

Requirements

Bachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience
Experience with C++, CUDA, Python, and Linux
Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo
Strong communication skills and the ambition to grow and learn about building machine learning applications, optimization, and software engineering
Prior involvement with embodied AI or a history at humanoid robotics firms with a focus on physics simulation

Responsibilities

Understand the responsibilities associated with embodied AI and strive to enhance them
Develop on frameworks like IsaacSim and Isaac Lab, ensuring flawless performance
Profile and investigate the performance of optimized code together with our internal team
Discuss your approach and results with NVIDIA engineers to continuously improve processes
Optimize GPU-based physics simulator performance for world-class results
Collaborate closely with architecture, research, libraries, tools, and system software teams to invent and develop next-generation architectures, software platforms, and programming models

Skills

Key technologies and capabilities for this role

C++CUDAPythonLinuxIsaac SimMuJoCoPyBulletDrakeGazebophysics simulationGPU optimizationembodied AI

Questions & Answers

Common questions about this position

What are the required skills for the Developer Technology Engineer role?

Candidates need a Bachelor's degree in Computer Science, Robotics, Engineering, or related field, experience with C++, CUDA, Python, and Linux, proven experience with physics simulators like MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo, strong communication skills, and prior involvement with embodied AI or humanoid robotics.

What compensation and benefits does NVIDIA offer?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at NVIDIA?

NVIDIA provides a dynamic and innovative environment with an exceptionally experienced team dedicated to pushing the boundaries of AI and computing.

What makes a strong candidate for this new college grad role?

A strong candidate is a creative and autonomous computer scientist with a real passion for parallel computing, along with hands-on experience in physics simulators, embodied AI, and the required technical skills.

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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