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.
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