At a Glance
- Tasks: Build innovative software for autonomous vehicles and enhance fleet management systems.
- Company: Wayve, a leader in Embodied AI technology for automated driving.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and impact.
- Why this job: Join a pioneering team shaping the future of autonomous transport.
- Qualifications: Experience in full-stack development and strong problem-solving skills.
The predicted salary is between 59400 - 72600 £ per year.
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. 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. Make Wayve the experience that defines your career!
The role
As a Senior Software Engineer on our Fleet Management team, you'll build the platform that lets Wayve's engineers and operators deploy software, monitor vehicle health, and understand what's happening across the fleet in real time. The team also plays a central role in Wayve's robotaxi operations, acting as the interface between our vehicles and the external services that dispatch and manage autonomous rides. These aren't traditional enterprise tools; the software you build connects our engineers and operators directly with vehicles operating on public roads. You’ll take projects from problem definition through technical design, implementation, deployment, and operation, working directly with Research, Safety, Operations, SRE, and Infrastructure to deliver solutions that scale with Wayve's growing fleet. This is an opportunity to join an early-stage team building fleet infrastructure across a global AV fleet and multiple OEM integrations - each with its own configuration, protocols, and engineering challenges. You'll shape how the team works as much as what it builds.
Key responsibilities
- Build reliable distributed services and workflows for deploying software, AI models, and configurations across vehicles that may be intermittently connected; solve for correctness, ordering, and rollback in environments where connectivity is not guaranteed.
- Build and maintain the services that support robotaxi operations — the interfaces and systems that connect Wayve's vehicles to external dispatch services and enable remote autonomous operations at scale.
- Develop scalable services, APIs, and intuitive interfaces that give engineers deep visibility into vehicle state and enable fast, confident diagnosis of issues.
- Build tools and services that enable engineers and researchers to explore and understand large volumes of vehicle telemetry and operational data.
- Develop reporting and analytics tools that track vehicle utilisation, system performance, and mission outcomes, enabling data-driven engineering and operational decisions.
- Design and build systems spanning web applications, backend services, embedded APIs, and cloud infrastructure, taking end-to-end ownership of their quality and evolution in production.
- Write high-quality, well-tested code, contribute to design and code reviews, and help other engineers grow.
About you
Essential skills
- Significant professional experience building, shipping, and operating production full-stack applications and web services, with strong hands-on depth across the stack: React, TypeScript, and MUI on the frontend; Rust, Go, and Node.js on the backend (Rust is a plus but not required); and Kubernetes, Azure, and Bazel for infrastructure.
- Experience designing, building, and operating APIs and web services, including sound judgement around API contracts, data modelling, service boundaries, reliability, observability, and failure handling.
- A track record of independently owning meaningful projects end-to-end, from problem definition and technical design through implementation, deployment, and production operation.
- Experience with distributed systems and microservices.
Senior Software Engineer, Fleet Management employer: EngineersOfAI
Graphcore is an exceptional employer, offering a dynamic work environment where innovation thrives and every team member can contribute to groundbreaking advancements in AI technology. With a strong focus on employee growth, Graphcore provides ample opportunities for professional development and collaboration with industry experts, all while being part of the prestigious SoftBank Group. Located in a vibrant tech hub, employees enjoy a culture that values creativity, inclusivity, and the chance to make a significant impact in the rapidly evolving field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Fleet Management
✨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 EngineersOfAI 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 EngineersOfAI.
✨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 EngineersOfAI.
✨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 EngineersOfAI 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, Fleet Management
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 EngineersOfAI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at EngineersOfAI 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 EngineersOfAI
✨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 EngineersOfAI 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.
