Control Engineer

Overview

As a Control Engineer in Wayve’s Germany Application Engineering team, you will integrate and optimize our MPC-based trajectory controller and AI software on vehicle platforms. You’ll validate performance across diverse real-world conditions and collaborate with robotics, ML, and vehicle engineering experts. Your work helps localize and advance Wayve’s autonomous driving capabilities for the German market. This role offers hands-on impact from system integration to scalable, robust control in real-world driving.

Pay / Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, ownership in Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours
• Learning and development budgets
• Comprehensive benefits (health insurance, dental, parental leave, retirement/pension)

Responsibilities

• Integrate and validate the AI software stack and MPC trajectory controller on customer hardware and vehicle platforms
• Maintain and enhance the controller with ML-driven trajectory generation to improve performance and reliability
• Advance control and integration methods for ML-coupled systems ensuring robustness across domains
• Test and optimise system behavior in highways, urban settings, and adverse weather conditions
• Develop and refine simulation and evaluation pipelines to ensure real-world optimality and control quality
• Collaborate with Verification, Release, and OEM partners to diagnose and resolve integration and performance issues

Key requirements

• Strong theoretical knowledge of control theory, optimisation, MPC, state estimation and numerical methods
• Experience developing and tuning control systems for physical systems, in simulation and real world
• Experience productionising and scaling systems including real-time controllers and monitoring at scale
• Strong C++ and Python

• control theory
• model-predictive control (MPC)
• state estimation
• numerical methods
• real-time controllers
• C++

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