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

Robotics, Artificial Intelligence, TechnologyIndustries

Requirements

5+ years of work related experience in software development related to robotics
Bachelors, Masters or equivalent experience in computer science, robotics, computer engineering, or a related field
Proven track record in developing software products in the domains of machine learning and reinforcement learning, and hands-on physical robot experience, and/or publishing in robotics conferences (RSS, CoRL, ICRA, IROS, NeurIPS, etc.)
Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks
Experience with robot simulation platforms and simulation-based reinforcement learning for training and validation of robotic systems, with hands-on experience on sim-to-real transfer of RL policies being a plus
Proficient in Python and C/C++, with experience in GPU programming or CUDA being a strong plus
Capable of adapting quickly to new technologies and platforms
Ability to adapt in a fast paced development lifecycles and multi-functional organizations
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 ROS 2, Isaac SIM and Isaac Lab or equivalent
Understanding of NVIDIA Isaac, NVIDIA GPU hardware, and CUDA
Contributions to or ownership of open-source project and mentorship experience

Responsibilities

Build and drive the application architecture internally, with a focus on humanoid robotics, by collaborating closely with architecture and software development teams
Scale the deployment and integration of robust and performant implementations of new technologies spanning whole body controller and manipulation algorithms into solutions and products
Integrate hardware and software components efficiently and develop scalable software solutions
Lead profiling, benchmarking and evaluation activities for verification
Provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams
Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers

Skills

Robotics

Humanoid Robotics

Machine Learning

Reinforcement Learning

Software Architecture

System Integration

Whole Body Controller

Manipulation Algorithms

Profiling

Benchmarking

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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