Solution Architect, Robotics
Nvidia · Tokyo, Japan
About this role
Nvidia is hiring a mid-level Solutions Architect in the software engineering function based in Tokyo, Japan. The posting calls out experience with Python, C, CUDA, Deep Learning and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Tokyo, Japan
- Experience
- 3+ years
- Education
- Bachelor's degree
- Posted
- Apr 20, 2026
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Job description
from Nvidia careersNVIDIA’s Isaac platform, powered by GPU computing and deep learning, is starting to make a significant impact in the field of robotics, with broad adoption increasing across leading academic institutions, start-ups, and industry, including the world’s largest manufacturing companies. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem, and scaling out the business using a partner channel and creative marketing. We need hard-working and creative people to help us pursue more of these opportunities in the robotics domain.
We are seeking a Robotics Solution Architect—a trusted technical advisor and leader to our customers who believes that 3D simulation, physics engines, and digital twins are revolutionizing the robotics industry. This role requires an outstanding engineer capable of engaging with developers, researchers, and start-ups on multiple, impactful robotics projects. We need an individual who can enable customer productivity and develop positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.
What you’ll be doing:
Be a technical expert with vision on integrating NVIDIA’s Isaac platform into robot development and simulation architectures to support various robotics applications. This includes creating reference architectures and demos that incorporate best practices around computational efficiency, performance, security, and scalability for complex simulated environments and digital twins.
This is an excerpt. Read the full job description on Nvidia careers →