At a Glance
- Tasks: Join us in building the data platform for next-gen autonomous vehicles.
- Company: Exciting start-up focused on revolutionising self-driving technology.
- Benefits: Competitive pay, flexible working, onsite chef, and wellness perks.
- Other info: Dynamic team culture with opportunities for personal and professional growth.
- Why this job: Make a real impact on the future of driving with cutting-edge tech.
- Qualifications: Proficient in Python and experienced in data processing technologies.
The predicted salary is between 60000 - 80000 £ per year.
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 the 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 focused 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:
- 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.
- 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.
Software Engineer (Data Platform) in London employer: Wayve
Wayve is an innovative start-up at the forefront of developing next-generation autonomous vehicles, offering Software Engineers a unique opportunity to shape the future of driving technology. With a dynamic and fast-paced work environment in London, employees benefit from competitive compensation, a culture that values respect and collaboration, and numerous perks including an onsite chef and flexible working arrangements. Join us to grow your skills in data science and machine learning while making a significant impact in a mission-driven organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (Data Platform) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wayve on LinkedIn or other platforms. Ask them about their experiences and share your passion for data-driven solutions in autonomous driving. This can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your Python prowess or data pipeline expertise, make sure to highlight it during interviews. We love seeing real-world applications of your skills!
✨Tip Number 3
Prepare for technical challenges! Brush up on your knowledge of distributed computing and data processing technologies like Apache Spark or Databricks. We want to see how you tackle problems, so practice coding challenges that reflect the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission-driven team at Wayve.
We think you need these skills to ace Software Engineer (Data Platform) in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let us see your enthusiasm for data and how it drives your work. Share specific examples of projects where you've used data to make an impact, especially in the context of autonomous driving or similar fields.
Highlight Relevant Skills:Make sure to emphasise your proficiency in Python and any experience with data processing technologies like Apache Spark or Databricks. We want to know how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention how your previous experiences relate to the challenges we face at Wayve, and how you can contribute to building our data platform. A personal touch goes a long way!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Wayve!
How to prepare for a job interview at Wayve
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the data processing technologies mentioned in the job description, like Databricks or Apache Spark. Brush up on your knowledge of cloud infrastructure, especially Azure, as it’s crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, particularly around building reliable data pipelines or working with distributed computing. Use examples that highlight your ability to shape data to fit user needs.
✨Understand the Company’s Vision
Familiarise yourself with Wayve's mission in autonomous driving. Be ready to discuss how your skills can contribute to their data-driven approach and how you can help improve self-driving algorithms through effective data management.
✨Be Ready for Team Collaboration Questions
Since you'll be working across various functions, think about past experiences where you collaborated with different teams. Prepare to share how you communicated effectively with machine learning engineers or other stakeholders to achieve project goals.
