Solution Architect, Robotics at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, ManufacturingIndustries

Requirements

Excellent verbal, written communication, and technical presentation skills in Japanese
Business level English communication
BS, MS or PhD in Engineering, Mathematics, Physics, or Computer Science
3+ years of relevant industry experience in robotics development and validation (HW/SW design), and simulation software
ROS/ROS2 development experience
Extensive experience with 3D engines and platforms specifically for robotic simulation (e.g., NVIDIA Omniverse, PhysX, Isaac Sim, Unity, Unreal Engine, Gazebo), including their underlying physics engines and solvers, for tasks such as robot design validation, control algorithm development, synthetic data generation, and operational training in digital twins
Proficiency with 3D data formats (e.g. OpenUSD, URDF, STEP, FBX, OBJ, glTF) and corresponding workflows for robotics applications (e.g., stereo visual SLAM, LIDAR localization & collision avoidance, motion planning & navigation, AprilTag processing, point cloud processing within a simulated environment)
Strong understanding of numerical methods and solvers used in robotics, kinematics, dynamics, and collision detection
C/C++/Python programming
Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing
Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings

Responsibilities

Be a technical expert with vision on integrating NVIDIA’s Isaac platform into robot development and simulation architectures to support various robotics applications, including creating reference architectures and demos that incorporate best practices around computational efficiency, performance, security, and scalability for complex simulated environments and digital twins
Support the business development team in guiding the customer through the sales process for NVIDIA’s GPU computing and 3D simulation products, and be responsible for the technical relationship and assist customers in building creative solutions based on NVIDIA technology
Engage with customers to develop a keen understanding of their goals, strategies, and technical needs, and help to define and deliver high-value solutions that meet these needs, including answering questions and providing mentorship to help them build their GPU-enabled robotics simulation and development infrastructure and get the most out of their investment
Document what you know, and guide others, including building targeted training for partners and other Solution Architects, writing whitepapers, blogs, and wiki articles, and working through challenging problems with a partner on a whiteboard
Keep up to date on the state-of-the-art in robotics, digital twin creation and simulation, and physics engines advancements

Skills

Key technologies and capabilities for this role

Isaac PlatformGPU ComputingDeep Learning3D SimulationPhysics EnginesDigital TwinsRoboticsSimulation ArchitecturesComputational EfficiencyScalabilitySecurity

Questions & Answers

Common questions about this position

What are the key required skills for this Solution Architect role?

Candidates need excellent verbal, written communication, and technical presentation skills in Japanese, along with business-level English. A BS, MS, or PhD in Engineering, Mathematics, Physics, or Computer Science is required, plus 3+ years of industry experience in robotics development and validation, and ROS/ROS2 development experience.

What language skills are required for this position?

Excellent verbal, written communication, and technical presentation skills in Japanese are required, as well as business-level English communication.

What is the salary or compensation for this role?

This information is not specified in the job description.

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

This information is not specified in the job description.

What experience makes a strong candidate for this role?

Strong candidates will have 3+ years of relevant industry experience in robotics development and validation (HW/SW design) and simulation software, with ROS/ROS2 development experience required, plus advanced communication skills in Japanese and English.

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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