Wayve

Software Engineer, Cloud Services (Map & Route)

London, UK
Kubernetes Python C++ Rust Microservices API Azure
Description

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 

As a Microservices Software Engineer within the Map and Routing team, you'll be responsible for designing and implementing cloud-based microservices that provide map and routing services for both onboard and offboard use cases. You will work closely with the embedded side of the team to ensure consistent APIs and seamless integration between onboard vehicle systems and cloud infrastructure. Your work will play a crucial role in enabling our autonomous vehicles and offline systems to efficiently utilize mapping data for training, validation, and real-time navigation. This is an opportunity to shape key cloud services that are critical for scaling our technology globally.

Challenges you will own

  • Microservices Development: Design and implement cloud-based microservices that provide map and routing services to support training, evaluation, and onboard vehicle needs.
  • API Consistency: Collaborate with the embedded software team to develop consistent APIs for both embedded and cloud services, ensuring a unified approach across Wayve's systems.
  • Cloud Deployment: Create and deploy microservices to a Kubernetes-based cloud environment hosted in Azure, optimizing for reliability, scalability, and performance.
  • Cross-functional Collaboration: Work with various teams, including Embodied AI, Evaluation & Validation, and Onboard Software, to gather requirements and ensure that services meet the diverse needs of internal stakeholders.
  • Mapping and GIS Technologies: Apply mapping and Geographic Information System (GIS) technologies to enhance the quality and functionality of the routing services.

About you

  • Microservices and Cloud Expertise: At least 3 years of experience in building and deploying cloud-based microservices, particularly in a Kubernetes environment.
  • Kubernetes and Azure: Proficiency in working with Kubernetes and deploying services to Azure, including managing CI/CD pipelines and optimizing deployments for performance.
  • Programming Skills: Strong programming skills in languages such as Python, C++, or Rust, with a focus on creating efficient, scalable, and maintainable code. This role will require you to work across multiple programming languages.
  • API Design and Integration: Experience designing RESTful APIs and ensuring consistency across distributed systems, ideally involving both cloud and embedded use cases.
  • Cross-functional Collaboration: Strong communication skills and experience working with multiple stakeholders, including embedded engineers, data scientists, and cloud infrastructure teams.
  • Mapping and GIS Technologies: Experience with mapping technologies or Geographic Information Systems (GIS) is a significant plus.

Desirable 

  • Embedded Systems Experience: Exposure to IoT or embedded environments is a plus, as it will aid in collaborating effectively with the embedded side of the team.

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.

 

 

Wayve
Wayve
Artificial Intelligence Autonomous Vehicles Electric Vehicle Machine Learning Software

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