Site Reliability Engineer - Onboard Software

Job Description

Who we are

Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly.

Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale

Where you will have an impact

• Elevate Operational Excellence: Guarantee the seamless operation of our autonomous vehicles on public roads, enhancing our ability to transform urban mobility
• Innovate and Automate: Drive the development of cutting-edge tools and automation to streamline operations, from first-line support enhancements to fleet management
• Metrics and Monitoring Mastery: Develop key metrics and monitoring/logging systems that preempt problems and promote rapid resolution, ensuring the highest levels of performance and reliability

Challenges you will own

• Mastering the intricate dance of software and hardware that powers autonomous navigation, crafting solutions that set new industry benchmarks
• Spearheading the adoption of forward-thinking tools and technologies that align with our visionary goals, both now and in the future
• Championing automation to continuously elevate our efficiency, aiming to make manual interventions a thing of the past

What you will bring to Wayve

Essential

• Proven experience in Site Reliability Engineering or a similar role, especially in a production environment
• Expertise in Python, C++, or Rust, with a solid foundation in cloud computing platforms (AWS, GCP, or Azure)
• Expert of CI/CD processes, containerization (Docker, Kubernetes), and a deep understanding of networking, distributed systems, and databases
• Expert with monitoring and troubleshooting utilities (DataDog, Prometheus, Grafana, ELK stack, Splunk, Humio, etc.)
• Exceptional problem-solving skills and a detail-oriented mindset, coupled with outstanding communication abilities

Desirable

• Experience with Azure, a background in autonomous vehicles, or involvement in ML/AI projects

What we offer you

• The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
• Competitive compensation and benefits
• A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
• A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets
• 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. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.

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 gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief

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.