Control Engineer (Autonomous Driving)

Location: Leonberg, Germany; hybrid working model with in-person collaboration and remote work

Company

hirify.global is building an AI platform for autonomous driving that enables vehicles to learn from real-world experience and adapt across vehicle platforms and operational domains.

What you will do

• Integrate and validate hirify.global’s AI software stack and MPC-based trajectory controller on customer hardware and vehicle platforms.
• Maintain and enhance controllers coupled with ML-driven trajectory generation to improve performance, stability, and reliability.
• Develop control and integration methods for ML-coupled systems with a focus on robustness and scalability.
• Test and optimise system behaviour across highways, urban environments, and adverse weather conditions.
• Develop simulation and evaluation pipelines for real-world control quality.
• Collaborate with Verification, Release, OEM, robotics, ML, and vehicle engineering teams to resolve integration and performance issues.

Requirements

• Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation, and numerical methods.
• Practical experience developing and tuning control systems for physical systems in simulation and in the real world.
• Experience productionising and scaling real-time systems and monitoring their performance at scale.
• Strong C++ and Python skills.
• Experience with control, dynamics, and modelling of road vehicles is desirable.

Culture & Benefits

• Hybrid working with core hours and hands-on work in vehicle workshops and labs.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salaries and meaningful equity.
• Learning and development budgets for training, conferences, and professional growth.
• Health, dental, retirement or pension, parental leave, therapy access, wellbeing partnerships, and team socials.
• Ownership in an evolving environment where processes and ways of working are still being developed.

Hiring process

• Initial recruiter call lasting approximately 30 minutes.
• Programming and robotics domain competency interviews, followed by a robotics system design deep dive.
• Final mission and values alignment interview.