Engineering Manager - Training & Inference Platform

Join to apply for the

Manager, Training and Inference Platform

role at

Wayve1 day ago Be among the first 25 applicantsJoin to apply for the

Manager, Training and Inference Platform

role at

WayveGet AI-powered advice on this job and more exclusive features.At Wayve we''re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

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!

The Role

This role is vital as it places you at the core of our organization''s capacity to scale and effectively deploy advanced machine learning solutions. Your leadership directly impacts hundreds of ML researchers and engineers by providing seamless access to GPU resources and intelligent scheduling tools that accelerate model training and inference workflows. By building robust, efficient, and reliable platforms, you will significantly enhance productivity, foster innovation, and enable rapid experimentation.

As The Leader Shaping Our ML Infrastructure, Your Contributions Will Drive The Future Direction And Success Of The Company. You’ll Oversee Two Closely-aligned Functions

Training PlatformMaintain and enhance the existing training scheduler (fair-share, preemption, checkpoint/restore).Provide training introspection (WandB integration, MFU metrics) and debug-node tooling for rapid iteration.Inference PlatformDeliver and optimize large-scale GPU inference capacity (persistent and burst).Enhance Flyte-driven smart scheduling, multi-model inference pipelines, and throughput for hundreds of petabytes of labeling workloads.

Your leadership ensures that both training and inference demand from hundreds of ML engineers is met with fast self-serve platform capabilities.

Challenges You Will Own

Team Leadership and Roadmap– Grow and mentor the team (will grow to 8+ engineers across both). – Define and drive a unified roadmap, balancing near-term demand spikes with long-term platform resilience.Scheduling and Orchestration– Evolve the scheduler with smart-scheduling features across training and inference workloads. – Develop advanced analytics and self-service interfaces to empower ML engineers to configure and monitor their inference workloads effectively.Operational Excellence– Implement observability and alerting to maintain 99%+ uptime for both platforms. – Improve efficiency of the platform with intelligent scheduling techniques and automatic cancellation of non convergent training jobs. – Partner with SRE to automate scaling, failover, and incident response.Talent Development– Recruit and develop platform engineers with a broad range of experience (junior through staff). – Foster a culture of ownership, cross-team collaboration, and continuous learning.

About You

Essential

Proven Leadership: Strong experience (8+ years) in software engineering with = 3 years managing SWE platform engineering teams.Technical Expertise: Hands-on with Flyte (or comparable orchestration) and GPU cluster management (e.g., Kubernetes/AKS).Collaboration: Exceptional communication to partner with AI researchers, data platform, and SRE.Talent Development: Track record recruiting, mentoring, and retaining high-performing engineers.Education: BS/MS in Computer Science, Engineering, or related field.Strategic Vision: Strong judgment and vision in defining multi-phase platform roadmaps.

Desirable

Scaling ML Systems: Demonstrated success delivering software to support hundreds of petaflop-hours of training or millions of inference hours.Experience optimizing data locality and multi-region workflows.Familiarity with WandB, MLflow, or similar introspection tooling.Prior work with Flyte or Ray and other large-scale orchestration frameworks.

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.

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.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.Seniority level

Seniority level Mid-Senior levelEmployment type

Employment type Full-timeJob function

Job function Human ResourcesIndustries Software DevelopmentReferrals increase your chances of interviewing at Wayve by 2xGet notified about new Training Supervisor jobs in

London, England, United Kingdom .London, England, United Kingdom £38,000.00-£43,000.00 1 month agoLondon, England, United Kingdom 1 week agoTraining and Development Manager - London

London, England, United Kingdom 1 month agoReception Supervisor / Assistant Practice Manager

London, England, United Kingdom 6 days agoFull-Time Assistant Manager (Duke of York)

Assistant Manager - St Pancras International

London, England, United Kingdom 1 day agoLondon, England, United Kingdom 6 months agoLondon, England, United Kingdom 4 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 1 month agoHemel Hempstead, England, United Kingdom 6 days agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 4 days agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 day agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 3 days agoLondon, England, United Kingdom 1 day agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 6 months agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 3 days agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 3 days agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 1 day agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of ..... full job details .....