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

Key technologies and capabilities for this role

C++PythonPyTorchIsaac LabIsaac SimSim2Realloco-manipulationVLArobot learningrobotics middlewarehumanoid robots

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Software Engineer position?

The base salary range is 184,000 USD - 356,500 USD, determined based on location, experience, and pay of employees in similar positions.

Is this a remote position, or is there a specific location requirement?

This information is not specified in the job description.

What are the key required skills for this role?

Required skills include proficient programming in C++ and Python, experience with machine learning frameworks especially PyTorch, strong understanding of robot learning principles, experience with simulation environments like Isaac Lab and Isaac Sim, and hands-on real robot testing.

What is the company culture like at NVIDIA for this team?

NVIDIA has forward-thinking and hardworking people, with special engineering teams growing fast due to outstanding growth, and offers highly competitive salaries and comprehensive benefits.

What makes a candidate stand out for this position?

Candidates stand out with real-world experience with humanoid robots in loco-manipulation, experience with NVIDIA's Isaac platform, hands-on real-world robotic systems, open-source contributions in robotics or ML, VLA models experience, and a strong publication record.

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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