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Automation Simulation Engineer Jobs in Massachusetts

Merlin Labs

Improve determinism and traceability of simulation runs 3. Toolchain Modernization & Automation ... Mentor and elevate engineers working on simulation tools and routing infrastructure * Establish ...

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Automation Simulation Engineer information

What are Automation Simulation Engineers?

Automation Simulation Engineers are professionals who design, develop, and test virtual models of automated systems, such as robotics, manufacturing lines, or industrial processes. They use simulation software to replicate real-world operations, helping companies optimize performance, identify issues, and reduce costs before actual implementation. Their work is crucial in industries like automotive, aerospace, and manufacturing, where efficiency and precision are vital. By simulating automation systems, they enable organizations to make informed decisions and improve overall productivity.

What is the difference between Automation Simulation Engineer vs Automation Test Engineer?

AspectAutomation Simulation EngineerAutomation Test Engineer
Primary FocusDeveloping and validating simulation models for automation systemsDesigning and executing automated tests for software and hardware
Required SkillsSimulation software, control systems, programming (e.g., Python, MATLAB)Testing frameworks, scripting, defect tracking
Work EnvironmentEngineering labs, R&D departments, manufacturing settingsSoftware development teams, QA departments, manufacturing
Industry UsageManufacturing, robotics, industrial automationSoftware development, electronics, automation industries

While both roles involve automation, the Automation Simulation Engineer focuses on creating virtual models to test automation systems, whereas the Automation Test Engineer concentrates on executing automated tests to ensure software and hardware quality. Both roles require technical skills and are vital in automation industries, but their core responsibilities differ significantly.

How does an Automation Simulation Engineer typically collaborate with cross-functional teams during project development?

Automation Simulation Engineers frequently work alongside controls engineers, mechanical designers, and project managers to ensure simulation models accurately reflect real-world system behaviors. Collaboration often involves participating in design reviews, sharing simulation results, and iterating on model parameters based on feedback from different departments. Effective communication and teamwork are crucial, as simulation insights guide design choices, troubleshoot potential issues, and optimize automation processes before physical implementation. This cross-disciplinary approach ensures smoother project execution and greater system reliability.

What are the key skills and qualifications needed to thrive as an Automation Simulation Engineer, and why are they important?

To thrive as an Automation Simulation Engineer, you need a solid background in engineering principles, control systems, and process automation, usually supported by a degree in electrical, mechanical, or automation engineering. Proficiency with simulation software (such as Siemens Tecnomatix, Rockwell Arena, or MATLAB/Simulink), programming languages, and PLC systems is crucial, and certifications in automation or simulation tools are often valued. Strong analytical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are essential to ensure accurate modeling, efficient automation solutions, and successful project outcomes in industrial environments.
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Automation Simulation Engineer jobs near you
Staff Engineer, Modeling & Simulation (R4869)

Staff Engineer, Modeling & Simulation (R4869)

Shield AI

Boston, MA • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Shield AI is a venture-backed deep-tech company dedicated to protecting service members and civilians with intelligent systems. As a Staff Modeling & Simulation Engineer, you will contribute to the development of modeling and simulation tooling for next-generation aircraft, ensuring robust automated testing and system performance analysis.
Responsibilities:
• Develop models and infrastructure for the integrated simulation pipeline in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Implement test scenarios and write unit, system, and regression tests.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Contribute to platform-agnostic simulation tooling to accelerate current and future aircraft design and development efforts.
• Perform verification and validation (V&V) analysis activities on modeling tools.
• Conduct system performance analysis and generate reports and visualizations.
• Utilize best practices in C++, simulation architecture, and performance engineering.
Qualifications:
Required:
• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 7+ years of experience in simulation software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Strong understanding of rigid-body dynamics, kinematics, aerodynamics, and sensor mechanics.
• Proven experience developing or integrating simulation systems for robotics, aerospace, and/or autonomous systems.
• Ability to debug complex build and runtime environments (CMake, package management, logging, and profiling tools).
• Experience with software testing tools (GTest, etc.)
• Experience with simulation V&V.
• Strong collaboration and communication skills across software, hardware, and systems disciplines.
Preferred:
• Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Familiarity with aircraft and flight physics modeling.
Company:
Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians. Founded in 2015, the company is headquartered in San Diego, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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