Senior Motion Planning Engineer – Autonomous Driving, Land Domain (m/f/d)
Quantum-Systems GmbH GilchingEst. Est. EUR 80,000–105,000 / yearSenior
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Python
- C++
About the role:
As Senior Motion Planning Engineer – Autonomous Driving, Land Domain , you will play a key role in shaping how our autonomous ground systems navigate safely, efficiently, and robustly through complex environments. You will develop motion planning capabilities that transform perception, localization, maps, mission objectives, and vehicle constraints into decisions and trajectories that our autonomous vehicles can execute in the real world.
You will take strong technical ownership of motion planning systems, architecture, and engineering decisions. You will contribute hands-on to complex technical challenges, challenge existing approaches, evaluate trade-offs, and continuously improve the reliability, scalability, and real-world performance of our planning capabilities.
As a senior engineer, you will act as a technical sparring partner for other engineers. You will share your expertise, review technical approaches, mentor less experienced colleagues, and contribute to engineering standards and best practices, while enabling teams to retain ownership of their respective systems and decisions.
Working closely with teams across perception, localization and mapping, control, simulation, platform software, verification, and vehicle integration, you will translate complex autonomy challenges into robust technical solutions. You will help align interfaces, requirements, and technical priorities across teams and support the transition of motion planning capabilities from development and simulation onto physical vehicles operating in the field.
What is your Day to Day Mission:
Take technical ownership of motion planning capabilities , contributing to the architecture, technical roadmap, and quality of the systems that enable autonomous ground vehicles to navigate complex environments.
Design and develop robust motion planning solutions , translating perception inputs, localization data, maps, mission objectives, and vehicle constraints into safe and executable decisions and trajectories.
Contribute hands-on to complex engineering challenges , investigating planning failures, improving algorithms, debugging system-level issues, and optimizing performance for real-world vehicle operation.
Drive strong engineering decisions , leading technical discussions, challenging assumptions, evaluating trade-offs, and helping teams make pragmatic and sustainable architectural choices.
Translate operational and product needs into technical solutions , working with relevant stakeholders to define clear requirements, priorities, interfaces, and implementation plans.
Drive collaboration across the autonomy stack , working closely with perception, localization and mapping, control, simulation, platform software, verification, and vehicle integration teams to establish robust interfaces and shared technical priorities.
Keep motion planning closely connected to the real system , using simulation results, automated testing, field testing, vehicle data, operational feedback, and real-world failures to improve performance and reliability.
Improve verification and validation coverage , contributing to scenario-based testing, simulation workflows, performance metrics, and automated evaluation methods for motion planning capabilities.
Raise the technical standard across the team , sharing knowledge, reviewing software and system designs, mentoring other engineers, and contributing to engineering standards and development practices.
Identify technical risks and dependencies early , helping teams address integration, performance, safety, scalability, and maintainability challenges before they become blockers.
Act as a senior technical interface for motion planning , communicating architectural decisions, technical challenges, dependencies, and improvement opportunities clearly across engineering teams and stakeholders.
What you bring to the team:
8+ years of professional experience in autonomous driving, ro
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