Senior Software Engineer, Humanoid Robotics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

RoboticsIndustries

Requirements

Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience)
8+ Years of experience in robotics, embedded systems, or related domains
Proficient programming skills in C++ and Python
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

Responsibilities

Deploy algorithms on real humanoid robots to evaluate sim2real transfer
Build and optimize data generation pipelines for training and validating robotic models
Implement and enhance robot learning algorithms for robotics
Focus on humanoid loco-manipulation tasks to advance robotic capabilities
Perform Vision-Language-Action (VLA) pre-training and post-training
Collaborate with engineering and research teams to enable foundation models on humanoid robots
Run experiments and analyze results to improve robotic system performance
Continuously learn and explore new technologies

Skills

C++

Python

PyTorch

Isaac Lab

Isaac Sim

Sim2Real

loco-manipulation

VLA

robot learning

robotics middleware

humanoid robots

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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