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 usFounded 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!
As a Platform Engineer, ML Ops under the Inference Optimization team,, you’ll build and own the automatic deployment pipeline which compiles and validates our AI driving models on multiple target embedded platforms. This role occupies a critical junction between machine learning and embedded systems, enabling us to deploy our driving models easily onto fleets of autonomous vehicles. This an exciting opportunity to lead in a high impact, early stage project at Wayve which directly contributes to our goal of deploying our models onto millions of customer vehicles around the world.
Key responsibilities:- You’ll build and own the CI/CD model deployment pipeline which compiles and optimizes our AI models for various embedded targeted platforms
- You’ll work closely with model developers, compiler engineers and GPU kernel engineers to automate the compilation process and integrate it into our standard model deployment process
- As a hands-on tech lead, you’ll plan out roadmap milestones and execute against them
- Over the first 6-12 months you’ll identify key roles and skillsets to further grow this team, to achieve business and commercial milestones
- You’ll have opportunities to develop new skills, especially in model optimization and deployment
In order to set you up for success as a Platform Engineer, ML Ops, we’re looking for the following skills and experience.
Essential:- Over 8 years experience in Site Reliability Engineering or a similar role, especially in a production environment.
- Experience as a hands-on technical leader or senior engineer on projects involving deployment pipelines, containerization (Docker, Kubernetes), CI/CD, Docker, Buildkite, or related frameworks
- Proficiency in Python, C++
- Excellent interpersonal and communication skills
- Exceptional problem-solving skills and a detail-oriented mindset, coupled with outstanding communication abilities.
- Experience with ML compilation pipelines (PyTorch, ONNX, TensorRT, etc) is a bonus but not required
This is a full-time role based in our office in Sunnyvale. 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.
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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.
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What We Do
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale.
Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK.
Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
