- 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
#J-18808-Ljbffr
Senior Solutions Architect, Robotics Simulation Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
