Software Engineer Labelling Data and Automation

You will design and implement tools, pipelines, metrics, and workflows for autonomy and simulation data. You will find and extract relevant data, build reliable labelling systems, define taxonomies and validation rules, deploy data solutions and embedding models, maintain tested code, and contribute to roadmap delivery.

Responsibilities

• Design and implement tools, pipelines, and metrics for autonomy and simulator development
• Own data discovery criteria and tooling across real-world data
• Build reliable systems for extracting and labelling data and integrating it into the system
• Define taxonomy, validation rules, and success criteria with stakeholders
• Design and manage end-to-end deployment of data solutions
• Deploy open-set and embedding models to production
• Ensure high-quality, structured, and tested code
• Contribute to roadmap planning, prioritization, and delivery

Requirements

• 4+ years of industry experience
• Bachelor's degree in computer science, engineering, machine learning, or a related technical discipline
• Python programming proficiency
• Software engineering fundamentals and experience writing high-quality, structured, and tested code
• Experience with large-scale data pipelines for processing and analysis
• Understanding of cloud job orchestration, monitoring, and instrumentation best practices
• Strong communication and organizational skills

Benefits

• Equity awards
• Medical, dental, and vision coverage for full-time employees
• Unlimited vacation
• Flexible hours
• Work from Home support
• Daily drinks, snacks, and catered meals when in office
• Team-building activities and social events