Embedded Systems Lead — Robotics & Drones

Aptiv

Troy (MI)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Aptiv is seeking an Embedded Engineering Manager to lead hardware and software teams for robotics and drones, spanning embedded systems, autonomy, and perception. You will shape roadmaps, guide cross‑functional work with product, safety, and hardware teams, and ensure scalable, production‑ready solutions for AMRs and drones.

The role emphasizes strong technical leadership and people management, with a focus on delivering robust perception, sensing, and software platforms across multiple

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, Systems Engineering, or related field.
  • 10+ years of experience developing embedded systems for robotics/automotive/consumer electronics.
  • 3+ years of engineering leadership and people management experience.

Responsibilities

  • Define and execute technical strategy, architecture, and roadmaps for embedded systems and software across AMR and drone platforms.
  • Lead sensing, compute platforms, data pipelines, perception algorithms, and system integration.
  • Drive product roadmaps with PMs/TPMs, balancing feasibility, resources, and business objectives.
  • Build and mentor high-performing engineering teams for scalable, production-ready robotics systems.

Skills

Embedded systems
Robotics
Leadership
System architecture
Sensor integration
C/C++

Education

Bachelor’s or Master’s in CS/EE or Systems Engineering

Tools

ROS 2
Polarion
DOORS
CI/CD
DevOps
MBSE

Job description

Aptiv is seeking an Embedded Engineering Manager to lead hardware and software teams for robotics and drones, spanning embedded systems, autonomy, and perception. You will shape roadmaps, guide cross‑functional work with product, safety, and hardware teams, and ensure scalable, production‑ready solutions for AMRs and drones.

The role emphasizes strong technical leadership and people management, with a focus on delivering robust perception, sensing, and software platforms across multiple

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