Senior Solutions Architect, Robotics Simulation

Jobtailor; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

NVIDIA is seeking a Senior Robotics Simulation Engineer to advance its simulation stack across robotics partners, spanning robot rigging, physics, rendering, and synthetic data generation.

You will collaborate with NVIDIA Research and engineering teams to evaluate new approaches, translate ecosystem needs into product feedback, and help shape roadmaps for scalable simulation workflows.

Qualifikationen

• BS, MS, PhD, or equivalent experience in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field

Aufgaben

• Work with robotics partners to adopt, extend, and scale NVIDIA’s simulation technologies
• Build and optimize workflows spanning robot rigging, physics, rendering, and synthetic data generation
• Diagnose integration and performance bottlenecks across simulation, rendering, data movement, 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
• Collaborate with NVIDIA Research, Engineering, Product, and customers to translate ecosystem needs into product feedback and roadmap priorities

Kenntnisse

Robotics Simulation

Python

C++

GPU-Accelerated Computing

ROS 2

OpenUSD/URDF/MJCF

API Integration

Reinforcement Learning

Industrial Manipulation

Domain Randomization

Ausbildung

BS/MS/PhD in Robotics or related field

Tools

Isaac Sim

MuJoCo

Gazebo

Drake

NVIDIA Warp

Newton

PhysX

Jobbeschreibung

• 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

Core Competencies

Demonstrates expertise in robotics simulation applications, including proficiency in Python or C++, and a strong understanding of GPU‑accelerated computing. Capable of leading technical evaluations and collaborating with cross‑functional teams to translate ecosystem needs into actionable product feedback.

Highest-signal resume keywords

• Robotics Simulation Platforms
• Physics‑Based Simulation
• NVIDIA Simulation Technologies
• API Integration
• Industrial Manipulation

ATS Optimization Keywords

Hard Skills

• Robotics Simulation Applications
• Python
• C++
• Physics
• Large‑Scale Rendering
• Sensor Modeling
• Robot Rigging
• ROS 2
• GPU‑Accelerated Computing
• Reinforcement Learning

Soft Skills

• Excellent Communication
• Collaboration Skills

Industry Keywords

• Simulation‑to‑Real Techniques
• Domain Randomization
• Calibration
• Validation
• Contact‑Rich Manipulation

Tools & Technologies

• Isaac Sim
• MuJoCo
• Gazebo
• Drake
• NVIDIA Warp
• Newton
• PhysX