Software Engineer

Salary: £60,000 - 60,000 per year

Requirements:

• Strong Python programming experience.
• Proven experience designing, building, and maintaining software systems from concept through to delivery.
• Strong software architecture and system design skills.
• Experience building tools, platforms, or libraries for internal or external users.
• Strong understanding of testing, observability, maintainability, and engineering best practices.
• Experience working with cloud environments, ideally Azure.
• Experience with concurrent, parallel, or distributed computing.
• Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning.
• Ability to work closely with technical stakeholders to refine requirements and deliver practical, scalable solutions.

Responsibilities:

• Design, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve.
• Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows.
• Support training at scale across large GPU clusters and cloud-based infrastructure.
• Work closely with ML teams to understand user needs and create tools that are reliable, well-documented, observable, and easy to adopt.
• Improve engineering quality across ML systems through strong software architecture, testing, monitoring, and maintainability practices.
• Optimise data and training pipelines to support multi-modal data sources, including camera, radar, lidar, and other sensor data.
• Contribute to the evolution of Wayves AI platform as we scale our autonomous driving capabilities.

Technologies:

• AI
• Azure
• Cloud
• Hardware
• Support
• PyTorch
• Python
• TensorFlow
• Airflow
• Datadog
• Docker
• Grafana
• Kubernetes
• OpenTelemetry
• Prometheus
• Terraform

More:

We are Wayve, founded in 2017 and the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, helping improve the usability and safety of automated driving systems. We build intelligent, mapless, hardware-agnostic AI products for automakers to accelerate the transition from assisted to automated driving. You will join our AI Libraries team, working in a fast-paced, collaborative environment focused on strong engineering standards, practical abstractions, and scalable platform design. We value diversity, inclusion, and continuous learning, and we invite candidates who are passionate about making a meaningful impact to apply.

last updated 36 week of 2026