Who We’re Looking For

• You bring 8+ years of hands-on technical programme management experience across platform, infrastructure, compute, ML infrastructure, developer tooling, training, or inference systems.
• You have built or scaled a programme function, led people and processes, and get things done with ownership and a bias for action.
• You build, coach, and grow high-performing teams. You know how to develop people, hire to strengthen the team, and raise the bar on technical programme management.
• You have strong technical depth across ML infrastructure, compute, and embedded systems. You can engage credibly with platform and systems engineers without being expected to write production code. Your experience includes:
  • A strong understanding of machine learning, GPUs, and training and inference for models from 500M to 20B+ parameters, including the compute and orchestration that support them.
  • Embedded or on-vehicle systems experience, including inference optimization, deploying models to constrained edge compute, and hardware-software trade-offs.
  • Familiarity with compute management, ML platform tooling, and model-development or experiment workflows, using technologies such as Kubernetes, Ray, Flyte, Docker, Azure, and Python.
  • Proficiency with AI agents and coding assistants such as Cursor, Claude, or Codex to accelerate execution.
• You stay objective under pressure and adapt your approach in ambiguous, fast-moving environments. You bring structure and clarity without creating unnecessary process or slowing delivery.
• You think in systems, understanding how the parts of a complex platform stack fit together and how changes in one area affect others.
• You’re product-minded, focusing on the people your programmes serve, prioritizing by impact, and defining what good looks like—not just tracking activity.
• You align and influence across ML and research, infrastructure, embedded, and engineering teams without relying on formal authority.
• You connect technical investment to measurable outcomes, including developer velocity, compute efficiency, cost, and model performance, and communicate direction and progress clearly using the right metrics.
• You’re open to feedback and continuously improve how you and your team work.
• Ideally, you have worked with a large-scale ML or compute platform used by hundreds of engineers and researchers.
• Experience with embedded or edge inference, on-device model optimization, hardware-aware ML, autonomous vehicles, robotics, or another large-scale ML and infrastructure environment would be valuable.
• An engineering or computer science degree, or experience working as an engineer, would be a plus.

Not Ticking Every Box? That’s Okay!

If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

Locations & Flexible Working

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

The Interview Process

• Initial call / recruiter screen (30 minutes)
• Competency Interviews (TPM process, Cross-functional; 1 hour 45 minutes total)
• Deep-dive technical interviews (Program Design, Leadership & Management; 1 hour 45 minutes total)
• Final interview: mission & values alignment (30 minutes)

We’ll always explain the format and work around your availability.

What’s in it for You (Location dependant)

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

A Quick, Honest Note Before You Apply

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.

Diversity and Inclusion

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.

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.