Autonomous Systems Modeling and Simulation Engineer

Autonomous Systems Modeling and Simulation Engineer

About the role

The modeling and simulation engineer role requiresa unique combination of skills that brings together vehicle dynamicsexpertiseand experience producing and delivering modular software solutions.

This engineer will develop,maintain,and tunemulti-degree-of-freedom models ofcomplex vehicle systems—such as surface and undersea vessels,aircraft, or robotic platforms—that can be used in performance prediction, controls development, and simulation framework creation.

Theengineershould understand how toidentifyandselectappropriatemodelingapproaches and fidelity based on use cases and system requirements.

Candidates should be capable ofdeterminingphysical or hydrodynamic/aerodynamic coefficients based on limited data—through analytical methods, system identification,3D modeling, or computational fluid dynamics (CFD). They should be experienced in developing and using dynamicmodelsfor vehicle maneuvering, control, and performance assessment.

The engineer will use models to assess vehicle performance under various operational and degraded conditions and relate those results to higher-level system capabilities.

A successful candidate willhave a strong background ingeneral software development as well as modeland simulation.

This role requires the use of general programming languages tocreate models that describe a system.

The engineer will take the model through the full design lifecycle process:planning,implementation,validation,data processing, and integration into the larger system.

The role involves collaboration across disciplines, workingbothindividually and in concert with other engineers and subject matter experts to connect marine craft dynamics models to models of other domains including power and energy, communication systems, and cyber models.

As part of this collaboration,the engineer willbe responsible for dashboarding/storyboarding togo fromdata tosystem insights and customer business values.

Integer is a science and technology research and development organization. As such, much of our work entails developingnovelsolutions, working at the edge of what is technically possible, advancing innovation across a range of challenging domains. To achieve internal and customer project goals all candidates must be comfortable conducting independent research,learning new technical concepts, and documenting findings clearly for diverse audiences.

What you'll do

• U.S.Citizenwith the ability to obtain a US DoD Secret clearance.
• 8+years of experience within technical field
• Bachelor’sdegreein naval architecture, marine engineering, aerospace engineering, mechanical engineering, robotics,machine learning, software engineering,or other similar technical disciplines
• Experience with physics-based modeling, numerical simulation, and scientific datasets.
• Understanding of Digital Engineering and Digital Twins
• Experience with methodology selection based on the problem/application (potential flow, analytical modeling, high-fidelity modeling).
• Experience with meshing and discretization problems.
• Deep experience with Coordinate Frame transformations and strong grasp of dynamics/kinematics
• Experience with Computational Fluid Dynamics (CFD) modeling and trade-off analysis to determine adequate modeling approach
• Basic PID and control theory
• Familiarity with Functional Mock-up Interface Standards
• Experience with multi-model simulations
• Proficiency at least one scientific development programming language (e.g., Python, MATLAB/Simulink)
• Experience with additional programming languages:
  Rust and/or C++
• Experience with scientific computing tools such as Num Py, Sci Py, Xarray, MATLAB, or equivalent frameworks
• Experience verifying and validating models & simulations
• Familiarity with modern development practices including Git/ADO, testing, CI/CD, code review, and documentation
• Experience and willingness to work with AI tools to efficiently accelerate development
• Excellent collaboration and communication skills, with the ability to interface across multidisciplinary teams and external partners

Desired
Qualifications

• Familiarity with systems engineering and practices like MBSE and SysML V2.
• Deep technical knowledge and modeling and simulation approaches in marine vehicle dynamics and guidance (GNC) algorithms
• Experience with autopilot design and tuning.
• Experience applying naval architecture modeling and simulation tools to both surface and subsea vessels.
• Experience with geospatial data, GIS, environmental modeling, oceanography,…