At a Glance
- Tasks: Investigate and analyse issues in autonomous vehicle systems to enhance performance.
- Company: Join Wayve, a leader in Embodied AI technology for automated driving.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting challenges.
- Why this job: Make a real impact on the future of autonomous driving technology.
- Qualifications: 3+ years in robotics or autonomous systems with strong problem-solving skills.
The predicted salary is between 63000 - 77000 £ 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 an Autonomous Driving Forensics Engineer in our Detectives team, part of the Model Integration and Release group, you will investigate issues that arise across the full Wayve AV stack. Working closely with teams across the business, you will identify root causes efficiently, test solutions thoroughly, and provide actionable insight that improves overall AV performance. Your role sits at the heart of performance improvement, identifying systemic issues within the full end-to-end stack of our AV vehicles. To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers, model development and operational teams.
We're looking for someone curious, pragmatic, and system-minded: a broad thinker who is comfortable operating with limited information, thrives outside their comfort zone, and lets facts and data drive their conclusions. Just as important is the ability to communicate clearly and build strong working relationships across teams, bringing people with you as you work towards an answer.
Key responsibilities:
- Issue investigation & root cause analysis: Triage on-road data and conduct deep dives into recurring issues, identifying patterns across the fleet to pinpoint root causes across the robot, model, or software.
- Data analysis & communication: Analyse data and communicate insights clearly, using dashboards and/or visualisations to make complex issues easy for others to understand and act on.
- Cross-functional collaboration: Work closely with engineering, model development, operations, and safety teams, including taking rides in the vehicles, to understand issues and partner with system owners through to a resolution.
- Process & automation: Develop automated workflows and investigation playbooks that improve turnaround time and enable faster testing cycles.
- Simulation & testing: Leverage simulation and other offline tools to reproduce and debug issues, minimising the need for fleet resources.
- Breadth of work: Provide investigative and systems engineering support across a broad and evolving range of problems, from new vehicle platforms to emerging programmes and release testing, as the technology and fleet grow.
- Incident response: Investigate on-road incidents to establish what happened and why, feeding lessons back to the relevant teams and strengthening our wider safety culture.
About you
In order to set you up for success as an Autonomous Driving Forensics Engineer at Wayve, we're looking for the following skills and experience.
Essential
- 3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems.
- Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems.
- A systems-thinking mindset, comfortable investigating across the full spectrum of issues.
Autonomous Driving Forensics Engineer 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 Autonomous Driving Forensics Engineer
✨Dive into Robotics Meetups
Get yourself out there and connect with others in the robotics-automation field by attending local meetups and industry events. These gatherings are where the magic happens, and you might just rub shoulders with someone from EngineersOfAI or get insider tips on upcoming vacancies.
✨Showcase Your Projects
Create a portfolio that highlights your robotics projects, whether they're personal, academic, or freelance. Share this on platforms like GitHub or your personal website, as it shows potential employers, like EngineersOfAI, what you're made of and your hands-on experience in the field.
✨Utilise University Resources
If you're fresh out of university or still connected, don't underestimate your career services. They often have exclusive access to job fairs and employer networking events in technical fields like ours, so make sure you tap into those resources to discover openings at companies like EngineersOfAI.
✨Engage in Online Communities
Join online communities that focus on robotics and automation, such as forums or LinkedIn groups. Engage in conversations, ask questions, and share insights. This not only builds your visibility but could also lead to direct connections at firms like EngineersOfAI, which might have the full-time role you're after.
We think you need these skills to ace Autonomous Driving Forensics Engineer
Some tips for your application 🫡
Showcase Your Technical Skills:In the robotics and automation field, it's crucial to highlight your technical skills on your CV. Include specific programming languages, software platforms, and any relevant robotics experience. Don’t forget to mention any projects or systems you've developed – this info can really make you stand out!
Portfolio Perfection:Having a polished portfolio can speak volumes for a role in robotics. Include any relevant case studies, designs, or prototypes you've worked on. If you've participated in competitions or hackathons, showcase these achievements as well – they show initiative and problem-solving skills!
Tailored Cover Letter Magic:In your cover letter, don’t just tell us that you love robotics—tell us why you’re passionate about automation specifically! Explain how your skills can contribute to EngineersOfAI’s projects and remember to connect your past experiences to what you'll be doing in this role.
Certifications Matter:If you’ve got any relevant certifications, such as in robotic process automation or machine learning, make sure they’re front and centre on your CV. These credentials show you're dedicated to your field and keep you up to date with industry standards – we love to see that!
How to prepare for a job interview at EngineersOfAI
✨Showcase Your Technical Wizardry
For a role in robotics and automation at EngineersOfAI, it's crucial to demonstrate your technical skills. Be prepared to dive into specifics about the programming languages and tools you’ve used, like Python or ROS (Robot Operating System). Brush up on your knowledge of algorithms and control systems, as these might come up during technical questions.
✨Bring Your Projects to Life
With a full-time position in robotics, you should have a portfolio of your projects ready to show. Whether it's a robot you built for a competition or a simple automation script, make sure you can discuss the challenges you faced and how you solved them. This hands-on experience is gold and shows you can apply theoretical knowledge in real-world scenarios.
✨Think Like an Engineer
Expect some problem-solving scenarios during your interview. You might be asked to design a basic automation solution on the spot or troubleshoot a robotic system. Practising these types of technical questions can really set you apart, as they require critical thinking and a systematic approach to tackle problems.
✨Culture Fit Is Key!
Don’t underestimate the importance of cultural fit at EngineersOfAI. They might ask about your teamwork experience and how you handle challenges with peers. Be ready to share examples of working in diverse teams, as collaboration is often central to projects in robotics and automation.
