Engineering Manager — Autonomous Systems Integration

Shield; San Diego (CA); Presencial; USD 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus

Benefits

Equity

Descripción de la vacante

Shield AI is seeking a senior leader for the Hivemind Integration & Test team in San Diego. You will mentor engineers, drive integration and validation across simulation, SIL, HIL, and real-world environments, and push for robust, scalable autonomy capabilities.

You will work with Engineering, Product, and Program teams to enhance the Hivemind SDK, identify gaps from customers’ perspective, and ensure mission-ready autonomous systems.

Formación

• Typically requires 7+ years in related field with degree; or 6+ years with Masters; or 4+ years with PhD.
• Proficiency in Python or C++.
• Experience with autonomous systems or middleware.
• Experience designing integration workflows and triaging defects.
• Strong problem-solving and communication skills.
• Experience leading software integration engineers and owning roadmaps.

Responsabilidades

• Mentor and develop a team of engineers focused on software integration and validation.
• Set priorities and drive execution with a culture of technical excellence.
• Contribute to system integration and debugging activities across SIL/HIL and flight environments.
• Guide architecture of integration frameworks and deployment workflows.
• Review logs and telemetry to diagnose integration defects.
• Lead cross-functional investigations and create tooling for debugging.

Conocimientos

Python

C++

ROS

Software integration

Leadership

Communication

Autonomous systems

Educación

Bachelor's in CS/CE/Robotics

MS/PhD (advantage)

Herramientas

SIL

HIL

Descripción del empleo

Shield AI is seeking a senior leader for the Hivemind Integration & Test team in San Diego. You will mentor engineers, drive integration and validation across simulation, SIL, HIL, and real-world environments, and push for robust, scalable autonomy capabilities.

You will work with Engineering, Product, and Program teams to enhance the Hivemind SDK, identify gaps from customers’ perspective, and ensure mission-ready autonomous systems.