Shield AI
Shield AI

60 Shield Ai Simulation Engineer Jobs Hiring Near You

Staff Engineer, DevOps (R4666)

San Diego, CA · On-site

$56 - $76.75/hr

... simulation environments for automated validation.  * Implement monitoring, dashboards, and alerts for CI/CD health and performance.  * Collaborate with the Developer Ops teams across Shield AI to ...

... simulation environments for automated validation. * Implement monitoring, dashboards, and alerts for CI/CD health and performance. * Collaborate with the Developer Ops teams across Shield AI to ...

Showing results 41-60

Shield AI Jobs Information

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

To thrive as a Simulation Engineer, you need a solid background in engineering principles, mathematics, and computer science, typically supported by a relevant degree. Proficiency in simulation software such as MATLAB, Simulink, ANSYS, or similar tools, along with knowledge of programming languages like Python or C++, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for accurately modeling complex systems, optimizing designs, and ensuring project success.

How does a Simulation Engineer typically collaborate with cross-functional teams during a project?

Simulation Engineers frequently work alongside design, testing, and manufacturing teams to ensure that virtual models accurately reflect real-world scenarios. They collaborate closely during the early stages to interpret project requirements and share simulation results to guide design decisions. Regular meetings and iterative feedback loops are common, helping to integrate simulation insights throughout the product development lifecycle. This collaborative environment not only enhances the quality of final products but also provides Simulation Engineers with exposure to diverse technical perspectives.

What are Simulation Engineers?

Simulation Engineers are professionals who design, develop, and implement virtual models to mimic real-world processes, systems, or products. They use specialized software to analyze how these systems behave under various conditions, helping organizations optimize performance, identify potential issues, and reduce costs. Simulation Engineers often work in industries like automotive, aerospace, manufacturing, and healthcare to support decision-making and innovation through virtual testing. Their work is crucial for minimizing the risks and expenses associated with physical prototyping and experimentation.

What is the difference between Simulation Engineer vs Mechanical Design Engineer?

AspectSimulation EngineerMechanical Design Engineer
Required CredentialsBachelor's or Master's in Mechanical, Aerospace, or related fields; proficiency in simulation softwareBachelor's or Master's in Mechanical Engineering; CAD software skills
Work EnvironmentDesign labs, simulation centers, R&D departmentsDesign offices, manufacturing facilities, prototyping labs
Industry UsageAutomotive, aerospace, electronics, manufacturingAutomotive, consumer products, machinery, aerospace
Common Search/ComparisonSimulation Engineer vs Mechanical Design Engineer

The main difference between a Simulation Engineer and a Mechanical Design Engineer lies in their focus areas. Simulation Engineers specialize in creating and analyzing virtual models to predict product performance, while Mechanical Design Engineers focus on designing and developing physical components and systems. Both roles often collaborate but serve distinct functions within engineering projects.

Infographic showing various Simulation Engineer job openings at Shield Ai in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Staff Engineer, XBAT DevOps (R4542) (Dallas, TX)

Staff Engineer, XBAT DevOps (R4542) (Dallas, TX)

Shield AI

Dallas, TX • On-site

$52.25 - $71.50/hr

Full-time

Posted 14 days ago


Job description

JOB DESCRIPTION:

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.  

Job Description: 

As a DevOps Engineer, you’ll own our CI/CD and automation stack — driving developer velocity, pipeline health, and large-scale test execution from single-agent runs to cluster-orchestrated mission scenarios. This is a hands-on IC role that removes bottlenecks, accelerates iteration, and ensures every engineer can test and ship with speed and rigor.  

What you'll do: 

  • Own and operate the CI/CD system across autonomy, embedded, and ground software.   

  • Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks.   

  • Scale simulation test execution in CI — from containerized single-agent runs to orchestrated clusters.   

  • Manage infrastructure for builds and tests (Azure DevOps, Git, Artifactory, cloud build agents).   

  • Fully automate common tasks to create a self-service DevOps model allowing developers to be fully empowered.  

  • Partner with developers to resolve build/test failures quickly and set best practices for integration.   

  • Integrate CI pipelines with HIL and simulation environments for automated validation.   

  • Implement monitoring, dashboards, and alerts for CI/CD health and performance.   

  • Collaborate with the Developer Ops teams across Shield AI to introduce new technologies, best practices, and shared standards.   

Required qualifications: 

  • BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years).   

  • Strong expertise in CI/CD tools (Azure DevOps, Jenkins, GitHub Actions).   

  • Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters).   

  • Strong scripting skills (Python, Bash, PowerShell).   

  • Hands-on experience integrating automated testing into CI pipelines.   

  • Demonstrated success improving developer productivity at scale.   

  • Demonstrated track record of excellence as a primary contributor on projects - showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions in a fast-paced environment     

Preferred qualifications: 

  • Experience building simulation or HIL-based test pipelines.   

  • CMake/C++ expertise or equivalent. 

  • Strong understanding of dependency management and proficiency with either Conan or CPM. 

  • Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus).   

  • Background in robotics, autonomy, or aerospace systems.   

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