Autonomous Driving Systems Project Manager

Deeproute Dot A I; Iowa (LA); On-site; USD 117,000 - 143,000; Full time

Job summary

Deeproute Dot A I seeks an experienced engineer to lead end-to-end development of autonomous vehicle planning modules, guiding cross-functional teams and ensuring timely, quality-driven delivery.

You will define the technical roadmap for planning functionalities, oversee requirements, milestones, risk, and documentation, and help integrate planning algorithms into simulations and real-world deployments.

Qualifications

• Master's degree in Mechanical Engineering or related field.
• 2+ years of experience in planning algorithms and software systems in autonomous driving.
• Proficiency in C++, Python, Machine Learning, Git, simulation tooling.

Responsibilities

• Lead end-to-end project management for the development of autonomous vehicle planning modules with cross-functional teams and testing for timely, quality-driven delivery.
• Define and oversee the technical roadmap and execution plans for planning functionalities including rare-scenario handling, constraint-aware motion planning, and system robustness.
• Manage the full project lifecycle: requirements, milestones, resource coordination, risk mitigation, documentation, and status reporting to stakeholders and leadership.
• Contribute to platform architecture and integration strategy, coordinating deployment of planning algorithms into simulation platforms and real-world driving environments.

Skills

Algorithms planning

Software systems

Motion planning

Education

Master's degree in Mechanical Engineering or related field

Tools

C++

Python

Machine Learning

Git

Simulation tooling

Job description

• Lead end-to-end project management for the development of autonomous vehicle planning modules, working closely with cross-functional teams, and testing to ensure timely and quality-driven execution of project deliverables.
• Define and oversee the technical roadmap and execution plans for key planning functionalities, including rare-scenario handling, constraint-aware motion planning, and overall system robustness, leveraging deep technical understanding of autonomous driving software systems.
• Manage the full project lifecycle, including requirements definition, milestone planning, resource coordination, risk identification and mitigation, technical documentation, and regular status reporting to stakeholders and senior leadership.
• Contribute to platform architecture and integration strategy, coordinating the deployment of planning algorithms into both simulation platforms and real-world driving environments, ensuring alignment with system-level goals and performance KPIs.

Requirements

1. Master's degree in Mechanical Engineering, or a related field;
   At least 2 years' experience in algorithms planning and software systems within the autonomous driving industry including:
   1) Develop and test planning systems;
   2) Execute software development lifecycles;
   3) Integrate in real-time systems;
   4) Optimize motion-planning performance and robustness; and proficiency in C++, Python, Machine Learning, Git, simulation tooling.
2. Annual salary is $130,000.