Senior Solutions Architect, Robotics Simulation

🕒 il y a 7 jours

🏄 California – Distant

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💵 $152 000 - $241 500 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

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👻 Score fantôme 1%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

10 000+ employés

Fondée en 1993

🏥 Santé

🏭 Fabrication

🤖 Intelligence artificielle

Healthcare • Manufacturing • Artificial Intelligence

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

• Work with robotics partners to adopt, extend, and scale NVIDIA’s simulation technologies • Build and optimize workflows spanning robot rigging, rigid and deformable-body physics, multi-solver integration, rendering, sensor simulation, and synthetic data generation • Diagnose integration and performance bottlenecks across simulation, rendering, data movement, accelerated computing, and large-scale workloads • Lead technical evaluations, proofs of concept, workshops, and reference implementations • Validate emerging approaches with partners, including hybrid physics-based and neural-model methods, and apply them to learned-policy workflows and sim-to-real deployment • Collaborate with NVIDIA Research, Engineering, Product, business teams, and customers to translate ecosystem needs into product feedback, roadmap priorities, and reusable guidelines

🎯 Exigences

• BS, MS, PhD, or equivalent experience in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field • 5+ years of hands-on experience building robotics simulation applications • Deep expertise with robotics simulation platforms such as Isaac Sim, MuJoCo, Gazebo, or Drake • Expertise in physics, large-scale rendering, sensor modeling, or robot rigging • Familiarity with ROS 2 and robotics description formats such as OpenUSD, URDF, or MJCF • Proficiency in Python or C++ • Experience integrating APIs and distributed software systems • Understanding of GPU-accelerated computing and its application to robotics simulation and machine learning workflows • Excellent communication and collaboration skills • Hands-on knowledge of NVIDIA simulation technologies such as Isaac Sim, Newton, PhysX, RTX, or NVIDIA Warp • Previous work with Isaac Lab, large-scale reinforcement learning, data generation, or video and data reconstruction pipelines • Industrial manipulation experience including grasping, perception-guided motion planning, force and impedance control, and learned approaches such as RL and IL • Experience integrating virtual controllers and contact-rich manipulation simulations • Familiarity with simulation-to-real techniques, including system identification, domain randomization, calibration, and validation on real hardware • Track record of working with robotics companies, researchers, or developers to bring new technologies into production

🏖️ Avantages

• Equity • Benefits

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