Cloud-Based Sensor Calibration Engineer

Woven By Toyota

City of Westminster

Hybrid

GBP 75,000 - 110,000

Full time

6 days ago
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Benefits offered by this job

Health coverage
Pension
Flexible vacation policy
Family planning and care benefits

Job summary

Woven By Toyota is seeking a Software Engineer for the Sensor & Calibration team to accelerate cloud-based validation and calibration tooling. The role focuses on developing scalable validation pipelines for LiDAR data in the cloud and coordinating with hardware and data teams for end-to-end sensor validation across cameras, LiDARs, IMUs, and radars.

The candidate will improve maintainability and observability of validation services, evolve the Vision library for extensibility, and ensure robust

Qualifications

  • Bachelor's degree in Computer Science or related field; Master’s preferred.
  • Proficiency in Python and SQL with production-quality coding experience.
  • Experience with large-scale data processing frameworks (Spark, BigQuery) and cloud-based data pipelines.
  • Familiarity with autonomous driving sensor modalities (camera, LiDAR, IMU, radar).
  • Experience maintaining scalable, observable cloud infrastructure for validation systems.

Responsibilities

  • Design, implement, and deliver calibration & validation pipelines and their infrastructure.
  • Write high-quality, scalable code and workflows for cloud-based validation services.
  • Develop SQL-based validation tests and validate sensor data across multiple platforms.
  • Enhance the shared Vision library to improve developer experience and extensibility.
  • Monitor production systems and improve observability and reliability across teams.
  • Collaborate across hardware, data, and software teams in a fast-paced environment.

Skills

Python
SQL
Cloud pipelines
Data validation
Observability
Agile
Collaboration

Education

Bachelor's in CS
Master’s preferred

Tools

Git
BigQuery
Spark
Kubernetes

Job description

Woven By Toyota is seeking a Software Engineer for the Sensor & Calibration team to accelerate cloud-based validation and calibration tooling. The role focuses on developing scalable validation pipelines for LiDAR data in the cloud and coordinating with hardware and data teams for end-to-end sensor validation across cameras, LiDARs, IMUs, and radars.

The candidate will improve maintainability and observability of validation services, evolve the Vision library for extensibility, and ensure robust

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