Engineering Manager, Runtime Platform, Robot Software

Wayve
London, UK
1 day ago
Apply on www.adzuna.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£84,501.0
Working hours
Regular working hours

Tech stack

Application Frameworks Systems Engineering C++ (Programming Language) Profiling Linux on Embedded Systems Middleware Embedded Software Real-Time Operating Systems Datadog Grafana Perf (Linux) Low Latency

Job description

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.

  • 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.

Requirements

  • 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: hands-on depth in what takes to architect and deliver embedded software shipped on a product to real customers. Demonstrate knowledge of high-performance, low-latency embedded software (C++) to earn the trust of senior systems engineers and own the team’s technical decisions. You don’t need to be the team’s top individual contributor.
  • Performance & systems fundamentals: solid understanding of profiling, benchmarking, latency/throughput/memory-bandwidth analysis, and real-time scheduling, on embedded Linux (ideally also QNX).
  • IPC / middleware: a strong grasp of middleware for high-throughput real-time or robotics systems and the trade-offs across vendors and platforms.
  • Cross-functional leadership: the ability to set direction and deliver through influence across many stakeholder teams.

  • Experience in automotive, robotics, or another safety-relevant real-time domain.
  • Familiarity with profiling toolchains (pprof/gperftools, perf, Nsight, NVLumo) and observability stacks (OpenTelemetry, Grafana, Datadog).
  • Experience with NVIDIA (Orin/Thor) and/or Qualcomm compute platforms.
  • Experience with a micro-kernel and/or real-time OS (e.g. QNX) is a plus.

About the company

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., The Runtime Platform team supports Wayve’s on-vehicle stack - other on-board components rely on the frameworks, performance, observability, and layers it owns. You’ll lead a team whose work contributes to how Wayve scales its AI Driver to new vehicles, OEM programs, and other embodiments.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:36 min

Visualizing memory limits and isolating suspicious endpoints

Dina Matveev Dina Matveev · Europe 2026 Virtual

10:40 min

Visualizing Prometheus open metrics using custom Grafana dashboards

Stijn Polfliet · LIVE

47 sec

Profiling native execution calls with async-profiler

Gonzalo Ortiz Jaureguizar Gonzalo Ortiz Jaureguizar · World Congress 2026 Europe

3:51 min

Technical skills and collaborative mindsets for mobility engineering roles

Georg Kühberger +1 · LIVE

1:08 min

Analyzing error logs and root causes using artificial intelligence

Nishil Patel Nishil Patel · World Congress 2025

4:18 min

Prioritizing communication and structural awareness over strict tool mastery

Liam Hurrel +1 · World Congress 2021

Videos

See all

Related articles

See all