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Wayve

End-to-end autonomous-driving software for vehicles

Controls Engineer

Controls & Automation EngineeringUpdated on Nov 9
Full-time

About the Job

Requirements

  • Strong fundamentals in control theory, with applied experience in one or more of optimization, model-predictive control, numerical methods, or dynamical systems.
  • Practical experience developing, tuning, and validating motion control on complex real-world physical systems, such as mobile robotics or autonomous vehicles.
  • Experience with testing and validation disciplines, including unit and integration tests, simulation regression suites, and closed-loop metrics.
  • Strong software engineering skills and experience building reliable production-quality systems in C++.
  • Experience with latency-sensitive or real-time software.
  • Ability to reason about and debug system-level behavior in complex robotic systems across software and hardware.

Responsibilities

  • Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across vehicle platforms, operating modes, and challenging driving conditions to ensure robust real-world performance.
  • Maintain and evolve controls software architecture connecting AI Driver outputs to real-time vehicle actuation and feedback.
  • Own requirements, release readiness, in-field performance, and issue triage.
  • Implement and maintain production-quality, latency-sensitive control software in C++ for deployment to prototype, reference, and production vehicles.
  • Use simulation, closed-loop evaluation, and on-road testing to characterize controller behavior, diagnose performance issues, and validate improvements.
  • Work with teams across Wayve to define controller interfaces, integrate with adjacent systems, and enable new vehicle platforms and product features through the full lifecycle.
  • Define and track quality metrics, including comfort, tracking error, safety margin key performance indicators, and regressions against them.
  • Contribute evidence for safety cases and work with the safety team to ensure compliance with required standards.
  • Develop and improve vehicle trajectory and motion controllers that translate AI Driver outputs into safe, smooth, and robust vehicle motion across different platforms and applications, including advanced driver-assistance systems and autonomous vehicles.
  • Develop principled controls approaches, implement real-time systems, test in complex scenarios, and refine evaluation pipelines.

Desired Qualifications

  • Applied machine learning experience, or experience developing systems that integrate with machine-learning components.
  • Experience with vehicle dynamics and actuation, including steering, braking, powertrain interfaces, actuator delay models, and Controller Area Network or similar vehicle-bus systems.
  • Experience in the automotive industry, including advanced driver-assistance systems or vehicle controls.
  • Experience with safety-critical systems, validation, and relevant industry standards such as ISO 26262.
  • Experience with monitoring and diagnostics, including logging, fault detection, and on-platform debugging tools; experience investigating field issues is particularly useful.
  • Experience across multiple platforms or vehicles, including accounting for parameter identification, calibration, and maintaining one software stack across hardware variants.

About the Company

Wayve

End-to-end autonomous-driving software for vehicles

Wayve provides end-to-end autonomous-driving software for automakers and fleets that runs entirely on onboard compute and sensors, without relying on HD maps or city-by-city engineering. The system uses foundation models capable of zero-shot driving and has demonstrated ability to drive across 500+ cities in Europe, North America, and Japan. Unlike traditional AV stacks that depend on mapped data and per-city customization, Wayve aims to generalize driving with its onboard AI across diverse environments. Its goal is to scale commercial robotaxi trials from 2026 and bring supervised autonomy to consumer vehicles from 2027, backed by substantial funding partnerships to support rapid deployment.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.6B
Headquarters
London, United Kingdom
Founded
2017

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