NVIDIA is seeking an outstanding Physical AI & Robotics Solutions Architect to join our growing Partner Enablement team. In this role, you will serve as a deep technical advisor to partners supporting customer needs in simulation, digital twins, world building, robotics, industrial autonomy, and auto. The Partner Solutions Architect team is dedicated to enabling ecosystem partners to build category-defining enterprise Physical AI systems. You will help partners use Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows to define architectures, compute footprints, test plans, and rollout strategies.
What you'll be doing:
Serve as the primary technical domain expert for partners supporting robotics, physical AI, industrial autonomy, digital twins, and auto.
Help partners use Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, OpenUSD, and related stacks to create simulation, digital twins, world-building, and robotics workflows.
Guide partners on synthetic data generation, scenario coverage, data strategy, and evaluation methods for perception, planning, controls, and embodied AI.
Use and advise on coding agents such as Codex, Claude Code, OpenClaw, or similar tools to accelerate digital twins development, asset creation, environment setup, robotics integration, and testing workflows.
Define benchmark plans, cluster test recipes, validation methodologies, and sim-to-real readiness criteria.
Advise on compute build-up for simulation, synthetic data generation, fine-tuning, and inference, including cluster sizing, storage, networking, latency targets, deployment patterns, and TCO.
Help partners estimate inference compute requirements across edge, on-robot, and centralized deployments.
Build reusable reference architectures, best-practice guides, deployment blueprints, and enablement assets that help partners deliver faster.
What we need to see:
MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
5+ years of relevant experience developing robotics, physical AI, digital twins, simulation, or auto/AV solutions at scale, including synthetic data generation, evaluation, benchmarking, inference optimization, and deployment, as a Robotics Engineer, Autonomy Engineer, Solutions Architect, Research Engineer, or similar technical role
Strong experience in robotics, simulation, autonomy, physical AI, digital twins, or embodied AI systems.
Familiarity with world building, synthetic data generation, evaluation, and sim-to-real workflows.
Experience with Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, Mujoco, Gazebo, OpenUSD, or comparable tooling.
Comfort using coding agents productively in technical workflows. Strong software engineering skills in Python plus C++ or Rust.
Experience with digital twins development using coding agents to accelerate asset creation, environment setup, or Cosmos-style world-building workflows.
Familiarity with CUDA, GPU systems, inference performance, and latency-sensitive deployment constraints.
Experience with benchmarking, cluster testing, performance validation, or compute planning for robotics, autonomy workloads.
Excellent communication skills and the ability to act as a deep technical advisor to partners and customers.
Ways to stand out from the crowd:
Built simulation workflows, digital twins, synthetic data systems, or benchmark suites used by external teams or customers.
Strong familiarity with Omniverse, OpenUSD, Cosmos, or embodied AI toolchains.
Experience with edge inference, real-time systems, hardware-in-the-loop testing, or safety-critical validation.
Active OSS contributions in robotics, simulation, physical AI, 3D perception, or autonomy infrastructure.
Comfortable translating robotics and simulation requirements into cluster sizing, deployment plans, and TCO guidance.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or related fields
- 5+ years of experience in robotics, digital twins, simulation, or related fields
- Strong experience in physical AI and robotic systems
- Software engineering skills in Python plus C++ or Rust
- Experience with benchmarking and cluster testing for robotics workloads
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png)
