Software AI Tools Engineer, Sensing & Connectivity

What you'll do

• Design and deploy AI-native tooling and agentic workflows to accelerate location algorithm validation.
• Build agentic data pipelines to ingest, curate, and quality-check large location datasets.
• Develop end-to-end replay systems to measure the reliability and behavior of stack changes before submission.
• Define benchmarks and evaluation frameworks to measure model quality and real-world positioning performance.
• Partner with hardware, app, and platform teams to ship AI-driven features from the ground up.
• Own the quality bar for location features by integrating new AI capabilities into production products.

What we're looking for

• Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or equivalent experience.
• Experience building and shipping ML or AI systems in production or through significant project work.
• Hands-on experience with LLMs, prompt engineering, and agentic frameworks.
• Experience designing evaluation frameworks, quality metrics, and test infrastructure.
• Strong software engineering fundamentals with proficiency in Python and comfort across the stack.
• Demonstrated ability to deliver end-to-end features against release schedules.
• Understanding of A-GNSS protocols, multi-constellation GNSS operation, embedded ML systems, and sensor-fusion architectures.
• Familiarity with distributed compute platforms and large-scale data infrastructure.