Robotics and control system Engineer

Role Overview

Serves as the primary technical authority for Physical AI engagements across robotics, industrial autonomy, simulation, synthetic data, and digital twins. Architects Omniverse and Isaac-based solutions that support simulation, sim-to-real validation, and operational digital twin use cases.

Experience Required

814 years in simulation, robotics, 3D platforms, or industrial software architecture, including 3+ years with NVIDIA Omniverse/Isaac technologies.

Key Skills & Competenci

• , and third-party twin integration
• Synthetic data strategy including scenario coverage, domain randomization, and sim-to-real validation
• Compute sizing and TCO estimation for simulation, SDG, training, and inference workloads

Key Responsibilities

• Architect federated digital twin and industrial simulation solutions using Omniverse and partner platforms
• Guide synthetic data strategy, scenario design, evaluation methods, and perception/controls validation
• Define benchmark plans, cluster test recipes, and sim-to-real readiness criteria
• Advise on compute sizing for simulation, synthetic data generation, and inference workloads
• Prepare architecture decks, gap analyses, documentation, and customer-facing solution narratives
• Track Omniverse stack changes and provide migration guidance for CoE and customer programs