Engineering Manager, Hardware-in-the-Loop
Lead and build a new Hardware-in-the-Loop (HIL) testing lab and team for defense autonomy programs. Own technical strategy, hiring, and cross-functional execution in an onsite Ann Arbor role.
Manager, Simulation Engineering (R4870)
Leads simulation engineering for V-BAT aircraft, managing team to design, build, and integrate scalable simulation tools across aerodynamics, GNC, and propulsion teams. Requires 8+ years experience, BS in CS/engineering, strong C++ skills, and leadership of engineering projects.
160k – 240kDallas, TXEngineering ManagementOnsite8+ YOE
About the role
Responsibilities
- Work with tech leads and stakeholders to design, track, and report simulation roadmaps and release plans.
- Align needs and priorities across many teams and disciplines.
- Hire and manage a team of specialized simulation engineers across multiple locations.
- Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects real-world conditions.
- Create and maintain processes and workflows to build confidence in simulation tooling to both internal and external customers.
- Stay updated with the latest advancements in simulation technologies and drive best practices across the team.
- Build and maintain documentation and dashboards to quickly provide data and status to leadership.
Required Qualifications
- BS in Computer Science or related engineering field with 8+ years of professional experience.
- 3+ years of experience leading engineering teams or projects.
- Passion for simulation and testing with the goal of ensuring safety and reliability at scale.
- A proven track record of working with multiple stakeholder groups and managing clear and successful roadmaps.
- Strong foundation in C++ and software architecture.
- Foundational knowledge of statistics and its application in software development, testing, and data analysis.
- Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms effectively.
Preferred Qualifications
- Experience with Docker, Kubernetes, and/or containerized application development.
- Familiarity with rigid body dynamics (e.g. Euler’s equations, quaternions), aerodynamics, propulsion systems, etc.
- Experience with Python 3 and data science frameworks (e.g. NumPy, Pandas, Dagster).
- Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks.
Skills
C++PythonDockerKubernetesROSNumPypandasDagsterLinear AlgebraStatisticsSoftware Architecture
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