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
At Wayve, we’re revolutionizing the way autonomous vehicles learn and operate, and the Scenario Technology and Coverage team plays a pivotal role in that mission by building scalable, data-driven scenarios for evaluating and validating self-driving models. As Software Tech Lead on this team, you'll be at the forefront of building scalable infrastructure, developing robust tools, and optimizing the end-to-end scenario workflow that fuels the validation of our driving models. This is a hands-on engineering role where you’ll design and maintain cloud-based infrastructure, build backend tools, and ensure the seamless operation of our large-scale scenario data pipelines.
Challenges you will own
- Build and optimize backend services and tooling that enable seamless data processing, augmentation, and scenario lifecycle management.
- Design, implement, and maintain scalable cloud-based solutions to support large-scale scenario generation and validation workflows.
- Develop robust, automated CI/CD pipelines (using tools like Jenkins, ArgoCD, and Kubernetes) that ensure efficient and reliable deployments of our scenario technology solutions.
- Collaborate with cross-functional teams, including ML engineers and Simulation experts, to integrate infrastructure improvements and ensure smooth scenario coverage operations.
- Manage and optimize databases used to store and retrieve large-scale driving scenario data, ensuring performance and scalability.
- Use Bash scripting and other automation tools to streamline development workflows and system maintenance.
- Ensure reliability and efficiency by applying best practices in software development, deployment, and operations.
About you
In order to set you up for success as a Software Tech Lead, Scenario Technology at Wayve, we’re looking for the following skills and experience.
Essential
- B.S. or M.S. in Computer Science, Engineering, or a related field, with 7+ years of software engineering experience.
- Strong experience with cloud technologies (e.g., AWS, GCP, or Azure) and building scalable, production-grade infrastructure.
- Proven expertise in CI/CD tools and frameworks (e.g., Jenkins, Kubernetes, ArgoCD) and experience implementing automated pipelines.
- Proficiency in infrastructure-as-code tools (e.g., Terraform) and containerization technologies (e.g., Docker, Kubernetes).
- Strong experience with backend programming (e.g., Python, Go, or Java) and database management (e.g., SQL, NoSQL).
- Experience with Bash scripting and other automation tools to enhance development and operational workflows.
- Familiarity with large-scale data processing systems and handling large datasets efficiently.
Desirable
- Experience in autonomous driving, robotics, or transportation industries.
- Exposure to ML-based workflows, particularly in building pipelines for large-scale data processing and evaluation.
- Familiarity with scenario generation, simulation, or validation tools for autonomous vehicle models.
- Experience in collaborating with Machine Learning, Science, or Simulation teams on infrastructure projects.
This is a full-time role based in our office in Sunnyvale. 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 operate core working hours so you can determine the schedule that works best for you and your team.
#LI-FH1
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!
