At a Glance
- Tasks: Build and operate large-scale data transfer pipelines for cutting-edge AI technology.
- Company: Join Wayve, a leader in Embodied AI technology, driving the future of automated driving.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team in a fast-paced environment with excellent career advancement opportunities.
- Why this job: Make a real impact on the future of autonomous vehicles while working with top industry partners.
- Qualifications: Experience in large-scale data systems, strong Python skills, and a passion for innovation.
The predicted salary is between 63000 - 77000 £ per year.
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. In our fast-paced environment 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.
The role Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's AI driver on vehicles across the globe. We're looking for a Senior Software Engineer, Data to help build Wayve's Data Transfer Hub: a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partners covering vehicles around the world. This is a pivotal project at Wayve. You'll work as part of a small, high-autonomy team building a globally distributed hub-and-spoke data exchange system, working with partners like Uber, Stellantis and Nissan. Your work will help make Wayve's AI model training possible at scale.
Key responsibilities:
- Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at up to PB/day scale
- Contribute to the technical design of the Data Transfer Hub, making pragmatic trade-offs across UX, reliability, throughput, cost, partner constraints, observability and operational support
- Build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure
- Help implement and evolve a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partners
- Write infrastructure-as-code in Terraform and pipeline logic primarily in Python
- Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards and alerting
- Work on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platform
- Once established, participate in an out-of-hours on-call and support rotation.
- Collaborate with product, commercial and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problems
- Work in a fast-changing environment where requirements and partner deliverable dates evolve, while maintaining high engineering standards
About you
In order to set you up for success as a Senior Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- Proven experience building and operating large-scale data transfer, ingestion or data processing pipelines, ideally at multi-TB or PB scale
- Strong software engineering skills
- Experience delivering & maintaining production systems
- Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect or similar tools are also relevant
- Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting
- Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus
- Proficiency in Python and Terraform
- Experience with blob/object storage, large-scale file movement, networking or cloud-to-cloud data transfer
- A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements
- Comfort working in a fast-changing environment with evolving requirements
- A strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quickly
Desirable
- Experience working with external data partners or customer-facing technical integrations
- Background in autonomous vehicles, robotics, geospatial data, video processing or other data-intensive domains
- Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking
- Experience building dashboards to communicate transfer job status
- Multi-cloud experience across Azure, AWS and/or GCP
- Experience improving cost efficiency, throughput or reliability of large-scale cloud data systems
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.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. 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.
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.
Senior Software Engineer, Data 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 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
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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 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.
