Senior Solutions Architect, Robotics Simulation

🕒 September 11

🏄 California – Remote

🏄 California – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Equity • Benefits