arrow_back Torna alla ricerca
W

Engineering Manager, Platform Integration, Robot Software

Wayve

Condividi:
placeLondon, United Kingdom home_workIn sede scheduleTempo pieno labelVehicle SW Engineering publicOfferta aggregata · GB

eventPubblicata il 05 nov 2026 · verifiedAbbiamo verificato il 05 nov 2026 che è ancora attiva

Questa azienda è tua?

Sull'offerta

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams Wayve is building embodied AI that can drive any vehicle, anywhere. Within Robot Software, the Platform Integration team brings together the software and interfaces that enable our AI Driver to operate on new development platforms. The team owns early vehicle software integration, drive-by-wire and the vehicle facing software drivers. We work across software, hardware, controls and operations to bring up new vehicle variants, improve their reliability and establish repeatable processes for validation and handover. As Engineering Manager, you’ll lead the engineers responsible for this work, shaping both the team’s technical direction and its development. Your team will help Wayve scale across vehicles and OEM programmes by building reusable software interfaces and making integration more predictable. 🧠 Your day-to-day You’ll be accountable for the team’s delivery, engagement, resourcing, roadmap and performance. You’ll coach engineers, support their career development, lead hiring and build a team with clear ownership and high standards. Working with the team, you’ll set direction across vehicle interfacing software and integration practices. You’ll help the team balance immediate programme needs with longer-term investments in architecture, tooling and reliability. You’ll also coordinate dependencies across teams, make priorities and trade-offs clear, and resolve risks early.

The role

combines software engineering leadership with practical delivery and execution. 🧩 What you’ll be working on: Leading and developing engineers: Set clear expectations, run effective one-to-ones, provide regular feedback, manage performance and support career progression. Building the team: Own hiring and onboarding, develop the skills needed for future programmes and build a collaborative culture across locations. Setting direction and priorities: Maintain the team’s mission, ownership boundaries and roadmap, balancing programme commitments with improvements that make future integrations easier. Delivering new vehicle integrations: Lead planning and execution from early preparation and bench integration through vehicle bring-up, validation and handover. Secure the resources and cross-team support needed for delivery. Owning vehicle-facing software: Guide the architecture and development of Vehicle Driver and drive-by-wire components, building robust interfaces that reduce bespoke changes for each vehicle variant. Improving reliability and release quality: Establish measurable reliability targets, use field feedback to prioritise improvements, and build strong ownership of testing, releases and escalated issues. Invest in sustainable over the air updatable infrastructure. Making integration repeatable: Develop playbooks, tooling, runbooks and knowledge-transfer practices so subsequent vehicles can be commissioned and supported independently. Driving technical collaboration: Review designs and work closely with software, hardware, controls, safety and operations teams, as well as customers and suppliers where needed, to resolve integration challenges. 🙌 You should apply if: You have a strong track record of leading and developing software or systems engineering teams, including coaching, hiring, performance management and career development. You have owned a team roadmap and delivered complex engineering programmes through others, managing priorities, resources, dependencies and technical risk. You have practical experience developing and integrating embedded or robotics software in a physical product. You can guide architectural decisions and review designs for software that interacts with hardware, balancing immediate delivery with maintainability and reuse. You understand the challenges of bringing up new hardware and software platforms, including testing, fault diagnosis, validation and operational handover. You build strong ownership of reliability and quality, using metrics and lessons from real-world operation to drive improvements. You communicate clearly and can align teams with different priorities around shared technical outcomes. Experience with automotive systems, drive-by-wire, CAN or automotive Ethernet, vehicle controls, or bench and hardware-in-the-loop testing is desirable. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehic

Continua a leggere gratis

Crea un account gratuito per vedere l'offerta completa e candidarti.

  • badgePortfolio visibile alle aziende
  • notificationsAvviso di nuova offerta via e-mail
  • favoriteAbbonamento gratuito, disdici quando vuoi