Senior Software Engineer (Digital Twin)

Brief Summary

Build and scale a digital twin & simulation platform that enables high-fidelity virtual environments and data-driven operational decision-making.

Lead hands-on engineering across architecture, integration, deployment, and continuous improvement for enterprise-grade simulation applications.

Responsibilities

Design, develop, and maintain scalable digital twin and simulation applications using NVIDIA Omniverse / Kit-based technologies and OpenUSD.

Build reusable extensions, tools, services, and APIs to support multiple digital twin workflows and use cases.

Translate engineering and operational requirements into production-ready software designs, standards, and technical documentation.

Develop and operate OpenUSD asset pipelines (composition, layers, variants), ensuring performance and interoperability with upstream design tools.

Implement data ingestion/synchronization pipelines that connect the digital twin to operational systems (e.g., IIoT platforms, MES, databases, enterprise services, external APIs).

Support simulation solution development for virtual commissioning, scenario analysis, process validation, and optimization initiatives.

Define and apply modelling assumptions, validation approaches, and benchmarking methods to improve simulation credibility and outcomes.

Partner with infrastructure and security stakeholders to plan deployments, access controls, and runtime best practices for on-prem and hybrid environments.

Implement containerized deployment patterns and contribute to platform scalability (including Kubernetes-based environments where applicable).

Improve reliability and performance through monitoring, profiling, tuning, and operational runbooks.

Participate in technical design reviews, contribute to architecture decisions, and provide guidance through code reviews and collaborative problem-solving.

Stay current on evolving tools and methods related to simulation, digital twins, OpenUSD, and applied AI for industrial-scale software systems.

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, Mechanical/Industrial Engineering, Robotics, or a closely related discipline.

5+ years of experience building production-quality software in areas such as simulation platforms, digital twins, robotics, or industrial-scale systems (research and/or industry experience considered where relevant).

Strong Python programming capability with evidence of maintainable, well-structured code.

Experience designing and integrating applications, tools, APIs, and services within complex software ecosystems.

Hands-on experience with NVIDIA Omniverse, OpenUSD, or comparable 3D/simulation platforms.

Proven ability to integrate software with data stores, enterprise applications, web services, and/or operational platforms.

Experience working with OpenUSD asset workflows (composition, variants, asset management) at meaningful scale.

Experience deploying and operating containerized applications; Kubernetes exposure is preferred.

Familiarity with GPU-enabled infrastructure used for simulation, visualization, or AI workloads.

Exposure to cloud-native and/or hybrid deployment architectures.

Experience with robotics and/or industrial automation environments (e.g., ROS/ROS2 is a plus).

Ability to apply AI/ML techniques in simulation or industrial workflows (e.g., synthetic data generation, surrogate or reduced-order models, reinforcement learning) is a plus.

Experience with simulation tools (e.g., Plant Simulation, AnyLogic, FlexSim, Simio, or similar) is a plus.

Knowledge of physics-based modelling and simulation methods is a plus.

Strong analytical thinking and problem-solving skills, with the ability to collaborate effectively in multidisciplinary engineering teams.

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