Solutions Architect, Physical AI and Robotics

🕒 il y a 2 mois

🏄 California – Distant

🏄 California – Remote

💵 $152 000 - $241 500 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

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NVIDIA

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1993

🤖 Intelligence artificielle

🎮 Jeux vidéo

Artificial Intelligence • Gaming • Automotive

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• equity • benefits