Solutions Architect, Physical AI and Robotics

🕒 April 7

🏄 California – Remote

🏄 California – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• equity • benefits