Senior Solutions Architect, Robotics Simulation

Nvidia

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Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 49 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k

This role $197k

$140k $266k

below market most similar roles pay here above market

This role pays less than 56% of similar roles. Most pay $180,650–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $208k for comparable roles.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1675 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1080 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Robotics Simulation

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The Senior Solutions Architect, Robotics Simulation joins a team focused on helping robotics partners develop and adopt Physical AI. This role involves working with researchers and developers to translate emerging research into real-world solutions by building and scaling simulation and sim-to-real workflows. Key responsibilities include optimizing robot rigging, rigid and deformable-body physics, multi-solver integration, rendering, sensor simulation, and synthetic data generation. You will diagnose performance bottlenecks across accelerated computing and large-scale workloads while leading technical evaluations and proofs of concept. Required expertise includes robotics simulation platforms like Isaac Sim, MuJoCo, Gazebo, or Drake, along with ROS 2, OpenUSD, URDF, or MJCF. Candidates must be proficient in Python or C++ and understand GPU-accelerated computing for robotics simulation and machine learning workflows.

What does a Solutions Architect earn in California?

Median $235750 from 61 postings across 11 companies.

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Skills

Isaac Sim MuJoCo Gazebo Drake ROS 2 Python C++ OpenUSD URDF MJCF PhysX NVIDIA Warp RTX Reinforcement Learning Sim-to-Real GPU-accelerated computing Synthetic Data Generation Domain Randomization Motion Planning Force and Impedance Control

What you'll do

Build and optimize workflows for robot rigging, physics, rendering, and synthetic data generation.
Help robotics partners adopt, extend, and scale NVIDIA’s simulation technologies.
Diagnose performance bottlenecks across simulation, rendering, data movement, and large-scale workloads.
Lead technical evaluations, proofs of concept, and reference implementations to accelerate platform adoption.
Validate hybrid methods combining physics-based simulation with neural models for sim-to-real deployment.
Translate ecosystem needs into product feedback, roadmap priorities, and reusable guidelines.

What we're looking for

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 like Isaac Sim, MuJoCo, Gazebo, or Drake.
Familiarity with ROS 2 and robotics description formats such as OpenUSD, URDF, or MJCF.
Proficiency in Python or C++ with experience integrating APIs and distributed software systems.
Understanding of GPU-accelerated computing applied to robotics simulation and machine learning workflows.
Hands-on knowledge of NVIDIA simulation technologies such as Isaac Sim, Newton, PhysX, RTX, or NVIDIA Warp (preferred).
Previous work with Isaac Lab, large-scale reinforcement learning, data generation, or video and data reconstruction pipelines (preferred).

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