At a Glance
- Tasks: Build and operate large-scale data pipelines for cutting-edge AI technology.
- Company: Wayve, a pioneering tech company in autonomous driving.
- Benefits: Competitive salary, equity options, remote work, and comprehensive health benefits.
- Other info: Flexible working model with opportunities for professional growth and development.
- Why this job: Join a mission-driven team shaping the future of mobility with AI.
- Qualifications: Experience in large-scale data systems, proficient in Python and Terraform.
The predicted salary is between 63000 - 77000 £ per year.
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this.
About our Portal Team: Portal is the cloud platform that connects Wayve to the outside world: enabling data exchange with partners, surfacing AI insights and supporting the commercial deployment of our AI Driver in vehicles around the globe.
As a Senior Software Engineer, Data, you'll join a small, high-autonomy team building Wayve's Data Transfer Hub—mission-critical infrastructure designed to transfer petabytes of sensor data per day from global partners. Working with partners such as Uber, Stellantis and Nissan, you'll help build the data foundations that make AI model training possible at scale.
Your day-to-day:
- Build and operate large-scale pipelines that transfer video, LiDAR and other sensor data from global partners.
- Shape the technical design of the Data Transfer Hub, making pragmatic trade-offs across user experience, reliability, throughput, cost, partner constraints, observability and operational support.
- Write pipeline logic primarily in Python and manage infrastructure as code with Terraform.
- Work closely with product, commercial and partner-facing teams to understand constraints and solve real customer and partner problems.
- Implement and evolve a hub-and-spoke model for retrieving and sharing sensor data with partners at up to petabyte-per-day scale.
- Build retry strategies, backfills, data integrity checks, lifecycle and state tracking, dashboards and alerting.
- Develop networking and large-scale file-transfer solutions, with Azure as the primary cloud platform.
- Improve throughput, reliability and cost efficiency while accommodating different partner environments and constraints.
You should apply if:
- You've built and operated large-scale data transfer, ingestion or processing pipelines, ideally at multi-terabyte or petabyte scale.
- You have strong software engineering skills and experience delivering and maintaining production systems.
- You're proficient in Python and Terraform.
- You know how to build reliable, observable data systems, including retries, backfills, integrity checks, lifecycle and state tracking, and operational alerting.
- You have strong cloud platform skills, ideally with Azure, and experience with object or blob storage, large-scale file movement, networking or cloud-to-cloud transfers.
- You're comfortable with evolving requirements and take ownership of outcomes, communicate clearly and help your team move quickly.
It's a bonus if you also have:
- Experience working with external data partners or building customer-facing technical integrations.
- A background in autonomous vehicles, robotics, geospatial data, video processing or another data-intensive domain.
- Multi-cloud experience across Azure, AWS and/or GCP.
- Experience improving the cost efficiency, throughput or reliability of large-scale cloud data systems.
More about Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand-coded rules or pre-mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency.
How we work: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.
We are committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives.
Senior Software Engineer - Data (Remote) in London employer: wayve
Wayve is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a focus on employee growth, you will have the opportunity to work alongside talented AI engineers in a hybrid environment, contributing to groundbreaking advancements in autonomous driving while enjoying the vibrant atmosphere of London. Join us to make a meaningful impact in the field of AI and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Data (Remote) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at wayve or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to wayve.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like wayve.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like wayve that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer - Data (Remote) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at wayve.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at wayve and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at wayve
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If wayve uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
