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.
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.
At Wayve, 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
The Engineering Manager, Digital Infrastructure will be responsible for managing and optimizing our IT systems, cloud platforms, and network infrastructure to support our software development and operational needs. The role requires a deep understanding of cloud technologies, Network best practices, security and IT operations. The ideal candidate will lead infrastructure strategy, collaborate with cross-functional teams, and ensure high availability and security of digital assets. This role will also be critical in delivering reliable and efficient digital infrastructure paired with seamless software management across all Wayve sites, enhancing operational excellence and empowering advancements in Embodied AI.
Key Responsibilities:
- Develop and execute the digital infrastructure strategy to support the company’s software and operational needs.
- Manage office systems, software, and network infrastructure to ensure seamless operations.
- Establish a robust incident management ecosystem to minimize downtime and enhance responsiveness, leveraging AI-based solutions.
- Oversee cloud infrastructure and on-premise IT environments.
- Ensure high availability, scalability, and performance of network, servers, and storage systems.
- Implement and maintain security measures, including firewalls, encryption, and identity access management.
- Manage data centers, backup solutions.
- Monitor system performance and troubleshoot issues to ensure minimal downtime.
- Collaborate with DevOps and software development teams to support CI/CD pipelines and deployment automation.
- Evaluate and implement new technologies to enhance digital operations.
- Manage IT budgets.
- Streamline processes for integrating new hires and managing employee transitions through AI-driven onboarding and offboarding workflows.
- Oversee company-wide software usage, licensing, and updates to ensure compliance and efficiency.
- Develop automated systems for software deployment and management, leveraging AI for predictive maintenance.
- Install and maintain lab environments for proprietary and test hardware, ensuring compliance, security, and alignment with operational goals.
- Utilize and develop AI tools to increase operational efficiency in lab infrastructure.
About you
Essential
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Experience in IT Infrastructure Management, Cloud Computing, or a related role.
- Strong knowledge of cloud platforms such as Azure, AWS or Google Cloud.
- Expertise in networking, system administration, and cybersecurity best practices.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities.
- Experience establishing a robust incident management ecosystem and leveraging AI-based solutions to minimize downtime.
Desirable
- Experience with DevOps tools (Docker, Kubernetes, Terraform, CI/CD pipelines).
- Proficiency in scripting languages (Python, Bash, PowerShell) for automation.
- Strong understanding of software management, compliance, licensing, and predictive maintenance using AI.
- Ability to manage and optimize lab environments while integrating AI-driven efficiency tools.
- Previous experience in a software development or SaaS company.
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.
#LI-HH1
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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Top Skills
What We Do
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale.
Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK.
Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
