Senior Data Engineer, Foundation Models

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 Data Engineers to work on data ingestion, labelling, storage, curation and analysis for the Wayve Foundation Model team. 

Challenges you will own

• Dataset collection, ingestion, annotation and validation of multi-modal datasets
• Post-processing of diverse datasets for training and evaluation 
• Data quality for pre/post training recipes
• 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:

• Filtration of high quality datasets 
• Labelling, enrichment and augmentation of data at scale using thousands of GPUs simultaneously. dration 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

• 4+ years professional experience within 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.
• Experience building reliable data pipelines to handle large data sets 
• Experience working with data processing technologies such as Databricks / Apache Spark, Apache Beam, Airflow or Flyte

Desirable

• Experience with Docker, Kubernetes and Terraform

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 

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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.