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.
At Wayve, 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!
Where you will have an impact
We’re looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We’re a growing start-up, building our first cohort of engineers and you can be at the heart of this.
Data is key to our vision: our end-to-end machine learning approach is fundamentally data-driven. This makes this role an exciting opportunity to be at the heart of Wayve, with an opportunity to directly influence performance of self-driving algorithms.
We are looking for Software Engineers to help build the Wayve data platform which facilitates data ingestion, labelling, storage, curation and analysis of Wayve data.
Challenges you will own
- The Data Platform team owns the data, infrastructure and tooling for the data we use to develop a learned driver.
- You will be part of a growing group focussed on discovering the best data recipe for driving, exploring how far data can push autonomous driving performance.
- You will be working across functions with machine learning research engineers, virtual world simulation engineers, robotics engineers and safety drivers to ingest, enrich and visualise thousands of hours of driving data.
- You will have opportunities to develop new skills in data science, big data, analytics and data visualisation.
Examples Projects:
- Quality control and validation of datasets e.g. removing examples of bad driving.
- Labelling, enrichment and augmentation of data at scale using thousands of GPUs simultaneously.
- Orchestration of data processing and machine learning workloads by building out infrastructure for running Flyte and notebook environments (e.g. Google collab) at scale.
What you will bring to Wayve
Essential
- 5+ years professional experience within Software Engineering or Data Engineering
- Proficiency in Python
- Knowledge of software engineering practices - what makes code reusable and extensible.
- Experience working closely with users, shaping data to fit their needs
- Experience working with concurrent, parallel and distributed computing.
- Passion for infrastructure: building internal tooling and frameworks.
- Experience building reliable data pipelines to handle large data sets
- Experience with cloud infrastructure, preferably Azure
- Experience working with data processing technologies such as Databricks / Apache Spark, Apache Beam, Airflow or Flyte
Desirable
- Experience with Docker, Kubernetes and Terraform
What we offer you
- The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
- Competitive compensation and benefits
- A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
- A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day
- Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets
- 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 also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.
#LI-HH1
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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