Principal Architect – Digital Twin

Location: Irving, Texas (Dallas), United States; full-time onsite work at the Irving office five days a week. Domestic relocation assistance is available. Visa sponsorship is available for eligible applicants.

Salary: $147,760–$240,110 per year.

Company

hirify.global develops connected machines, data platforms, software, AI, autonomy, and physical-world solutions for construction and industrial applications.

What you will do

• Own the architecture and fidelity of machine, jobsite/environment, and sensor digital twins used by Physical AI, simulation, and autonomy teams.
• Define asset and scene pipelines converting CAD, PLM, survey, photogrammetry, LiDAR, GIS, and reality-capture data into simulation-ready OpenUSD assets and environments for NVIDIA Omniverse, Isaac Sim, and Unreal Engine.
• Design data models and pipelines connecting twins with machine telemetry and fleet data so simulations reflect as-operated machines and as-built sites.
• Establish validation and correlation programs using test-data correlation, scenario-based testing, regression testing, telematics comparison, and sim-to-real metrics.
• Develop synthetic-data, neural-reconstruction, and real-to-sim workflows, including 3D Gaussian Splatting and NeRF.
• Translate the digital-twin vision into solution designs, reusable patterns, standards, implementation guidance, and technical leadership for engineering teams.

Requirements

• Knowledge of requirements analysis, analytical thinking, platform architecture, target architecture, and effective technical communication.
• Experience delivering physically based digital twins of machines, vehicles, robots, or industrial sites for simulation, validation, or AI training, including fidelity tiers, versioning, and lifecycle management.
• Hands-on experience with NVIDIA Omniverse, including Kit, Isaac Sim, Replicator, and Nucleus, plus OpenUSD composition, schemas, USD Physics, SimReady assets, and CAD-to-USD conversion at scale.
• Experience with machine and physics modeling, including multibody dynamics, articulations, hydraulics, powertrain, implement-material interaction, model calibration, and system identification.
• Experience building jobsite, terrain, and geospatial twins from drone photogrammetry, LiDAR, survey and design surfaces, and GIS data.
• Experience with physically based camera, LiDAR, radar, GNSS, and IMU sensor models, calibration frames, environmental effects, synthetic data, ground truth, and domain randomization.
• Experience with connected twin data models and pipelines using machine telemetry and fleet data, including ROS 2, MQTT, Kafka, DDS, and edge-to-cloud architectures.
• Experience establishing sim-to-real validation through acceptance criteria, test-data correlation, scenario and regression testing, HIL/SIL correlation, and quantified fidelity metrics.
• Strong Python and C++ skills; experience with GPU/CUDA workloads, containers, Kubernetes, CI/CD, and cloud platforms such as AWS or Azure. Bachelor’s degree in Computer Science, Robotics, Mechanical Engineering, Physics, or a related field.

Nice to have

• Experience with CAE/PLM tools such as Siemens NX, Ansys, Modelica, or Adams.
• Experience with Unreal Engine or Unity for large outdoor environments.
• Construction or mining site data experience with Trimble, Topcon, Hexagon, Cat MineStar, or Grade.
• Experience with 3D Gaussian Splatting, NeRF, or world foundation models such as NVIDIA Cosmos.
• Experience with off-highway, construction, mining, or agriculture machines, or digital-twin programs at NVIDIA, Applied Intuition, Volvo Autonomous Solutions, Komatsu, John Deere, Siemens, or Duality AI.
• Master’s or doctoral degree preferred.
• Comfort with AI coding tools.

Culture & Benefits

• Work on AI, simulation, sensing, edge computing, and autonomy for real-world construction and industrial machines.
• Medical, dental, and vision benefits, paid time off, holidays, and volunteer time.
• 401(k), HSA, FSA, disability benefits, life insurance, and parental and adoption benefits.
• Career development, tuition reimbursement, health lifestyle programs, employee assistance, voluntary benefits, employee discounts, and incentive bonus opportunities.