Senior Simulation Engineering – Autonomous Driving, Land Domain (m/f/d)

About the role

As Senior Simulation Engineer – Autonomous Driving, Land Domain , you will play a key role in shaping the simulation capabilities that enable us to develop, test, and validate the next generation of autonomous ground systems at scale. You will design and evolve realistic, reliable, and reproducible virtual environments in which our autonomy software can be developed and challenged long before a physical vehicle enters the field. You will take strong technical ownership of simulation systems, architecture, and engineering decisions, helping to define how simulation is integrated into our autonomy development and verification workflows. You will tackle complex technical challenges hands-on, challenge existing approaches, identify limitations, and continuously improve the quality, scalability, and effectiveness of our simulation environment. As a senior engineer, you will also 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 engineers across autonomy, perception, localization, planning and control, platform software, verification, and vehicle integration, you will translate complex simulation needs into robust technical solutions. You will help align interfaces and requirements across teams and ensure that our simulation capabilities address real engineering challenges and become an integral part of autonomy development, continuous testing, and system-level verification. What is your Day to Day Mission: Take technical ownership of simulation capabilities , contributing to the architecture, technical roadmap, and quality of the simulation systems used for autonomy development, testing, and verification. Design and develop scalable simulation solutions , building realistic, reliable, and reproducible environments that enable autonomy software to be tested across complex scenarios before deployment on physical vehicles. Drive strong engineering decisions , leading technical discussions, challenging assumptions, evaluating trade-offs, and helping teams make pragmatic and sustainable architectural choices. Translate autonomy and verification needs into technical solutions , working closely with stakeholders to turn complex requirements into clear simulation concepts, priorities, and implementation plans. Contribute hands-on to complex engineering challenges , investigating technical limitations, improving simulation fidelity and performance, and solving problems that require deep technical expertise. Drive collaboration across the Land Domain , working closely with autonomy, perception, localization, planning and control, verification, platform software, and vehicle integration teams to identify where simulation provides the greatest engineering value. Keep simulation closely connected to the real system , using field data, vehicle testing, real-world failures, and operational feedback to continuously improve simulation fidelity, coverage, and relevance. Raise the technical standard across the team , sharing knowledge, reviewing technical approaches, mentoring other engineers, and contributing to engineering standards, development practices, and continuous improvement. Identify technical risks and dependencies early , helping teams address scalability, maintainability, integration, and verification challenges before they become blockers. Act as a senior technical interface for simulation , communicating technical challenges, architectural decisions, dependencies, and opportunities clearly across engineering teams and stakeholders.

What you bring

to the team: 8+ years of professional experience in simulation, robotics, autonomous driving, physical systems, vehicle dynamics, software engineering, or closely related engineering domains. Strong technical expertise in simulation and autonomous systems , with experience designing, building, and evolving complex simulation environments used for development, testing, and verification. A strong software engineering background , ideally including modern C++ and Python, with hands-on experience building or extending simulation infrastructure using technologies such as CARLA, NVIDIA Isaac Sim, Unreal Engine, Gazebo, or comparable simulation environments. Solid understanding of physical simulation and autonomous systems , including areas such as vehicle dynamics, sensor simulation, Software-in-the-Loop (SiL), scenario-based testing, and the trade-offs between simulation fidelity, performance, determinism, and scalability. Experience taking technical ownership of complex systems , contributing to architecture and technical roadmaps while driving decisions around scalability, maintainability, reliability, and system quality. Proven ability to solve complex engineering problems hands-on , including debugging system-level issues, evaluating technical trade-offs, challenging existing approaches, and developing pragmatic solutions. Experience working across engineering disciplines , collaborating effectively with autonomy, perception, localization, planning and control, verification, platform software, and vehicle integration teams. Experience connecting simulation with real-world systems , using vehicle testing, field data, operational feedback, and real-world failures to improve simulation fidelity, coverage, and relevance. Ability to provide technical guidance and mentorship , supporting other engineers through design discussions, code and architecture reviews, knowledge sharing, and engineering best practices without requiring formal people-management responsibility. Excellent communication and collaboration skills , with the ability to explain complex technical topics, influence engineering decisions, align stakeholders, and drive technical topics across organizational boundaries