Solutions Architect, 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 IntelligenceIndustries

Requirements

Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related technical field, or equivalent experience
4+ years of work experience in robotics development, simulation, and/or AI
Proficiency in Python, with exposure to robotics software frameworks like ROS/ROS2
Practical knowledge on one or more 3D workflows and tools (e.g., Unity, Unreal Engine, Blender) and Robotics Simulation frameworks (e.g., NVIDIA PhysX and Isaac SIM, Gazebo, MujoCo, Pybullet, Drake)
Previous applied experience with robotics workflows and strong fundamentals on robotics systems (kinematics, dynamics, perception, control)
Excellent communication skills to convey technical concepts to diverse audiences
Self-starter with passion for growth, learning, and multi-functional teamwork

Responsibilities

Act as technical expert to guide customers on solving sophisticated robotics technical challenges by implementing end-to-end solutions using NVIDIA products
Work directly with customers to help them scope and develop solutions for industrial robotics simulation, synthetic data generation, software in the loop testing, AI enhanced manipulation workflows using NVIDIA's Isaac Sim, Isaac Lab, Cosmos, and other relevant platforms
Partner with Sales, NVIDIA Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption
Develop a deep understanding of customer workflows and requirements, lead proof-of-concepts evaluations and provide internal feedback to drive continuous product improvements
Share domain expertise with the NVIDIA solutions architect community and stay updated on advancements in robotics, AI, simulation and computer graphics

Skills

Key technologies and capabilities for this role

Isaac SimIsaac LabOmniverseCosmosRobotics SimulationGenerative AI3D SimulationSynthetic Data GenerationAI PipelinesPhysical AIAutonomous SystemsComputer Graphics

Questions & Answers

Common questions about this position

What education and experience are required for the Solutions Architect, Robotics role?

A Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related field (or equivalent experience) is required, along with 4+ years of work experience in robotics development, simulation, and/or AI.

What technical skills are needed for this position?

Proficiency in Python with exposure to ROS/ROS2 is required, along with practical knowledge of 3D workflows and tools like Unity, Unreal Engine, Blender, and robotics simulation frameworks such as NVIDIA PhysX, Isaac Sim, Gazebo, MujoCo, Pybullet, or Drake. Strong fundamentals in robotics systems including kinematics, dynamics, perception, and control are also essential.

What soft skills are important for this role?

Excellent communication skills to convey technical concepts to diverse audiences, along with being a self-starter passionate about growth, learning, and multi-functional teamwork.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position, or what is the location policy?

This information is not specified in the job description.

What ways can I stand out as a candidate for this role?

Familiarity with NVIDIA Omniverse, Isaac Sim or Isaac Lab, relevant data formats like Pixar’s OpenUSD and URDF, and experience with control and actuator modeling in simulation frameworks like MuJoCo will help you stand out.

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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