Senior Applied Research Software Engineer, Robotics Sim2Real at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, TechnologyIndustries

Requirements

Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience)
2 years+ experience in robotics
Proficient programming skills in Python and C++
Experience with machine learning frameworks, especially PyTorch
Strong understanding of robot learning principles and algorithms
Experience with simulation environments (e.g. Isaac Lab, Isaac Sim)
Hands-on experience of real robot testing
Familiar with robotics middleware
Excellent problem-solving skills and the ability to work independently and as part of a team
Ways to Stand Out
Hands-on experience with real-world robotic systems and hardware of humanoid robots or mobile manipulator, particularly in loco-manipulation and dexterous hands manipulation tasks
Experience with vision-language-action (VLA) models
Strong publication record in top-tier conferences and journals
Experience with NVIDIA's Isaac platform and tools

Responsibilities

Perform Vision-Language-Action (VLA) pre-training and post-training
Implement and enhance robot learning algorithms for robotics
Deploy algorithms on real humanoid robots to evaluate sim2real transfer
Focus on humanoid loco-manipulation tasks to advance robotic capabilities
Collaborate with research and engineering teams to enable foundation models Sim2Real transfer on humanoid robots
Run experiments and analyze results to improve robotic system performance
Continuously learn and explore new technologies
Cross team collaborations and leadership for sim2real efforts
Publish papers / technical reports for the applied research work

Skills

Python

C++

PyTorch

Isaac Lab

Isaac Sim

robot learning

VLA

humanoid robots

loco-manipulation

robotics middleware

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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