About the Role
The London Data Infrastructure team is looking for engineers passionate about enabling the next generation of automotive software development. The role focuses on building and maintaining data pipelines, ingesting large‑scale vehicle data, and supporting machine‑learning modeling for autonomous driving. The team is distributed across the UK and the US.
Responsibilities
- Work on high‑impact projects and innovate new solutions to problems in the self‑driving space.
- Collaborate with Computer Vision and Machine Learning engineers on high‑impact projects and innovate new solutions to problems in the self‑driving space.
- Understand complex data requirements of modern ML development and tailor our data ecosystem to these needs.
- Build efficient data pipelines for ingestion from the vehicle fleet.
- Work on distributed systems that serve, process and transform large quantities of data in the cloud.
Minimum Qualifications
- Extensive experience in Python (or another object‑oriented language).
- Experience building reliable, distributed applications for data processing or similar areas.
- Working with RPC protocols such as gRPC/protobuf.
- Hands‑on experience developing cloud applications (e.g., AWS, GCP, Azure).
Preferred Qualifications
- Experience writing testable and modular code.
- Experience working in a fast‑paced environment, collaborating across teams and disciplines.
- Experience designing, deploying, and maintaining distributed systems.
- Knowledge of data pipelines, data platforms, workflow orchestration, and batch processing.
Benefits
- Excellent health, wellness, dental, and vision coverage.
- A rewarding pension.
- Flexible vacation policy.
- Family planning and care benefits.
Equal Opportunity Employer
We are an equal opportunity employer and value diversity. Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
