Who we are
Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly.
Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale
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.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed below. 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.
What you will bring to Wayve
Essential
- 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.
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 gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief.
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.
