Cloud Sensor Calibration Engineer

Woven; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Excellent health, wellness, dental and

vision coverage

Family planning and care benefits

Job summary

Woven by Toyota is building ground truth sensor calibration and data validation tools in the cloud to power autonomous driving systems. You will accelerate calibration pipelines, write SQL-based tests, and collaborate with hardware and data engineers to validate sensors across cameras, LiDAR, IMU, and radar.

The role emphasizes reliability, maintainability, and scalable cloud infrastructure. The successful candidate will contribute to improving the team’s Vision library and maintain production

Qualifications

• Bachelor's degree in CS or related field or equivalent experience.
• Proficiency in Python and SQL with production-grade code.
• Experience building cloud-based data pipelines for reliability.
• Experience managing multi-team software repos and reviews.
• Experience with monitoring and observability tools.
• Ability to thrive in a fast-paced, collaborative environment.

Responsibilities

• Design, implement, and deliver calibration pipelines and underlying infrastructure.
• Write scalable code and workflows to process large fleets of data.
• Contribute SQL-based validation tests and validate sensor data coverage.
• Improve maintainability, reliability, and observability of systems.
• Maintain and evolve the Vision library and shared infrastructure.
• Collaborate cross-functionally and support partner teams in production.

Skills

Python

SQL

Cloud data pipelines

Observability tooling

Collaboration

Agile development

Education

Bachelor's degree in CS or related field

Tools

Git

CI/CD

Job description

Woven by Toyota is building ground truth sensor calibration and data validation tools in the cloud to power autonomous driving systems. You will accelerate calibration pipelines, write SQL-based tests, and collaborate with hardware and data engineers to validate sensors across cameras, LiDAR, IMU, and radar.

The role emphasizes reliability, maintainability, and scalable cloud infrastructure. The successful candidate will contribute to improving the team’s Vision library and maintain production