Engineering Manager - Product Integration and Test

San Diego, United StatesOn-site

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Responsibilities

Manage a team of talented software engineers, working together on exciting autonomy projects.
Lead the full integration lifecycle, combining individual software and hardware components into a unified, system-level autonomy product.
Oversee the development, integration, and deployment of autonomy solutions onto hardware platforms, including interfacing with sensors, vehicle autopilots, and third-party software components.
Ensure your team delivers high quality, robust software that can fulfill project
Manage and track multiple priorities while maintaining a focus towards common project goals.
Oversee system-level testing and validation efforts, including running integrated products in simulation (SIL, HIL) and conducting field deployment on USV and UAV vehicles.
Drive strong maturating of best practices when it comes to planning SIL, HIL, and real testing with configuration management and test artifacts. We're looking for someone who has:

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI.
MS in computer science, robotics, systems engineering, or related fields from a top institution. 8+ years industry
experience in software, robotics, or systems engineering. 2+ years
experience in leading technical teams with varied backgrounds. •
Experience with deploying software to hardware components with rigorous verification and validation.
Deep technical understanding of system-level problems and the integration of components like sensors and vehicle autopilots.
Familiarity with common robotics middlewares such as ROS, DDS, Iceoryx2, or protobuf over ZMQ. •
Experience with CI/CD tools (e.g., Jenkins, GitLab CI) for automating deployments and testing.
Strong proficiency in Linux and hands-on
experience with robotic systems and hardware.
Familiarity with simulation environments, specifically Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) development. Nice to have:
PhD in Robotics or a related engineering field. Hands-on
experience in deploying autonomy in the real world, particularly on USV, UAV, or other maritime/aerospace platforms.