Senior Solution Architect, Robotics Systems at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AIIndustries

Requirements

Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field
3+ years of full-time industry experience in robotics hardware or software full-stack
Hands-on experience with deploying and debugging neural network models on robotic hardware
Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion
Proficiency in languages such as Python, C++, and experience with robotics frameworks (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.)
Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components
Physically work on-site on all business days

Responsibilities

Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms
Deploy and evaluate neural network models in physics simulation and on real humanoid hardware
Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision
Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability
Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection
Collaborate with researchers on model training, data processing, and MLOps lifecycle

Skills

Python

C++

ROS

Gazebo

Mujoco

Isaac

neural networks

real-time control

teleoperation

sensor fusion

locomotion

manipulation

whole-body control

MLOps

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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