Software Data Engineer, Sensing & Connectivity

What you'll do

• Build tools and services to support model evaluation at scale.
• Build and maintain data pipelines for evaluation datasets, run results, and metrics.
• Design data models and storage to ensure evaluation results are reproducible and queryable.
• Design and maintain validation frameworks to measure the reliability and accuracy of synthetic data.
• Integrate the evaluation platform with various enterprise services.
• Deploy, monitor, and operate services on production-grade infrastructure.
• Develop and support new and existing features in a hands-on capacity.

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or 3 years of equivalent work experience.
• 3+ years of experience building and operating production software in Python.
• Experience debugging distributed systems or data pipelines in production using logs, metrics, and task state.
• Experience designing input validation and configuration contracts for systems where late failures are costly.
• Proven, hands-on use of agentic AI coding tools in day-to-day software development.
• Experience building and operating data pipelines and data stores.
• Experience with CI/CD, including automated testing, reproducible builds, and safe rollouts.
• Experience with model evaluation frameworks or ML infrastructure (preferred).