At a Glance
- Tasks: Lead and grow a high-performing engineering team in cutting-edge AI technology.
- Company: Wayve, a pioneer in Embodied AI for automated driving solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Join a dynamic team tackling complex challenges in a fast-paced environment.
- Why this job: Make a real impact in the future of autonomous driving technology.
- Qualifications: Proven engineering management experience and strong technical judgment.
The predicted salary is between 75600 - 92400 £ per year.
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology.
Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward.
Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions.
We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter.
We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
About The Team
Wayve is building embodied AI that can drive any vehicle, anywhere.
Our AI Driver runs on-vehicle in real time, and the Runtime Platform team owns the application frameworks, middleware (IPC / inter-process communication), monitoring, performance, and observability foundations that make that possible.
This is a growing sub-team that we're breaking out into its own team, and you’ll be the Engineering Manager to lead it.
The role
As Engineering Manager for Runtime Platform, you'll lead a single team and be accountable for its delivery, engagement, resourcing, roadmap, and performance.
People leadership is your first priority: you'll coach and grow the team, keep it engaged and high-performing, and own hiring as the team stands up.
You'll pair that with strong technical judgment — setting clear technical direction on latency, profiling, real-time scheduling, and middleware, and owning the outcome of the team's technical decisions.
What you'll do
Lead and grow the team (first priority): keep the team engaged, developing, and performing with good morale; run 1:1s, set clear expectations, give regular high-quality feedback, manage performance, and support career growth against our career framework.
Hire and build the team: own hiring and onboarding to get the right people in the right roles, and shape the team's culture and ways of working as it forms.
Drive execution: ensure the team's work advances company goals; staff committed programs, keep the roadmap aligned to available resources, prioritize, and hold the team accountable for delivery, quality, and operational reliability.
Set technical direction: ensure the team has a clear, holistic technical direction and clear ownership of its technology-roadmap milestones — working closely with the team's tech lead(s) and stakeholders; own the outcome of the team's technical decisions.
Own the runtime foundations: guide the team's work across system design, application frameworks, the middleware/IPC layer, performance & optimization, and measurement & observability.
Enable new vehicle platform enablement with incremental work and minimal performance degradation.
Implement and maintain strong CI, HIL, and internal quality gates to provide a robust framework for fast iteration.
Collaborate and unblock: cascade the roadmap, partner with internal Vehicle Software teams, model developers, hardware, and OEM programs.
Act as the point of escalation for your team, and proactively surface and resolve risks and dependencies.
What you'll bring
Engineering management experience (essential): a track record of leading, growing, engaging, and retaining a high-performing software/systems team — including hiring, coaching, feedback, and performance management.
People management is your first priority.
Delivery through a team: experience owning a team's roadmap and shipping through others — planning, prioritization, resourcing, and accountability for quality and operational reliability.
Technical credibility: hand
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Engineering Manager, Runtime Platform, Robot Software in London employer: EngineersOfAI
Graphcore is an exceptional employer, offering a dynamic work environment where innovation thrives and every team member can contribute to groundbreaking advancements in AI technology. With a strong focus on employee growth, Graphcore provides ample opportunities for professional development and collaboration with industry experts, all while being part of the prestigious SoftBank Group. Located in a vibrant tech hub, employees enjoy a culture that values creativity, inclusivity, and the chance to make a significant impact in the rapidly evolving field of artificial intelligence.
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We think this is how you could land Engineering Manager, Runtime Platform, Robot Software in London
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We think you need these skills to ace Engineering Manager, Runtime Platform, Robot Software in London
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at EngineersOfAI.
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How to prepare for a job interview at EngineersOfAI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
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Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If EngineersOfAI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
