Digital Twin Engineer

Aquila Engineering; Houston (TX); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading engineering firm in Houston is looking for a Digital Twin Engineer to develop advanced simulation models. The role involves building digital twins using NVIDIA Omniverse and collaborating across teams to optimize and validate engineering processes. A strong background in Python and mechanical systems is essential, along with relevant qualifications in engineering disciplines. This full-time position offers opportunities to work within the dynamic Oil and Gas industry.

Qualifications

• Hands-on experience with NVIDIA Omniverse, including USD and real-time simulation workflows.
• Strong Python development skills for extensions, APIs, and automation.
• Experience converting CAD models for real-time use.

Responsibilities

• Build and maintain BOP and shear-system digital twin using NVIDIA Omniverse.
• Develop Python-based tools to simulate shear events and hydraulic responses.
• Collaborate with engineers to ensure accurate simulations.

Skills

NVIDIA Omniverse

Python

CAD model optimization

Mechanical systems

Simulation concepts

Sensor or time-series data

Linux environments

Communication skills

Education

Bachelor’s or master’s degree in mechanical engineering

Mechatronics

Computer engineering

Robotics

Job description

Reports To: Senior Manager, Innovation & Product Development

Role Overview

Aquila is building an advanced digital twin environment to support real-time BOP reliability analytics, shear-testing simulation, and AI-powered engineering workflows. We are seeking a Digital Twin Engineer (Omniverse) to lead the development of our BOP and shear system digital twin using NVIDIA Omniverse, USD, and simulation-based modeling.

This role will work across engineering, data science, and product teams to create interactive, physics-aware models that connect real DPT and shear-test data with simulation and predictive analytics.

Key Responsibilities

• Build, configure, and maintain Aquila’s BOP and shear-system digital twin using NVIDIA Omniverse, USD, and Omniverse Kit APIs.
• Develop Omniverse extensions and Python-based tools to simulate shear events, hydraulic-system response, accumulator behavior, and system anomalies.
• Convert engineering drawings into optimized USD assets suitable for real-time rendering and simulation.
• Integrate real DPT and shear time-series data with the digital twin for validation, diagnostics, and visualization.
• Collaborate with mechanical and reliability engineers to ensure simulations reflect accurate hydraulic and mechanical behavior.
• Work with data science teams to support model training, synthetic data generation, and advanced testing scenarios.
• Deploy and manage Omniverse services (Nucleus, Kit applications, simulation environments) on Aquila’s on-prem AI lab infrastructure.
• Develop tools and visual panels for AI test labs located in the Aquila office and future operator-facing diagnostics.
• Document processes, APIs, workflows, and digital twin lifecycle management for internal engineering use.

Required Skills and Experience

• Hands-on experience with NVIDIA Omniverse, including USD, Omniverse Kit, and real-time simulation workflows.
• Strong Python development skills for extensions, APIs, automation, and data handling.
• Experience converting and optimizing CAD models (SolidWorks, Creo, NX, STEP) for real-time use.
• Working understanding of mechanical or hydraulic systems, especially pressure and force interactions.
• Familiarity with simulation concepts such as constraints, solvers, and physics engines.
• Experience with sensor or time-series data used in engineering analysis.
• Comfort working in Linux environments and familiarity with containerized workloads.
• Strong communication skills to collaborate with engineering, software, and data teams.

Preferred Qualifications

• Bachelor’s or master’s degree in mechanical engineering, mechatronics, computer engineering, robotics, or related field.
• Experience building digital twins for industrial, energy, or mechanical systems.
• Knowledge of PyTorch or ML pipelines for future integration of predictive modeling.
• Experience with GPU compute environments or high-performance simulation workflows.
• Familiarity with oil and gas drilling operations.

Seniority level

• Associate

Employment type

• Full-time

Industries

• Oil and Gas