Software Engineer, AI Engineer

Company Description

Harmon Eyes is the world's only open, AI-powered eye-tracking platform that identifies and predicts a person's cognitive, emotional, and physical state based on eye movements alone. Compatible with any camera-based device, Harmon Eyes provides a one-stop shop to analyze eye-tracking data, develop models, and deploy solutions to applications at scale with the Theia™ SDK. Backed by 60+ years of eye-tracking experience and born from the largest validated eye-tracking database (14 million unique records), Harmon Eyes is used by the world's leading organizations in technology, aviation/automotive, healthcare, and elite performance in military and sports.

As a Software Engineer, you'll help shape the architecture and direction of our platform. You'll drive critical initiatives across our tech stack. This is a high-impact role for someone who thrives on solving complex systems challenges and building products that matter.

• Architecture & Design:
  Design and implement scalable systems for real-time eye-tracking data processing.
• Platform Development:
  Lead development of our internal data platform—building robust pipelines for ingesting, processing, and serving model within our cloud infrastructure.
• SDK & Integration Engineering:
  Architect SDK components for cross-platform compatibility in different hardware domains.
• Signal Processing & ML Integration:
  Collaborate with data science to implement advanced signal processing algorithms and product ionize ML models.
• SDLC:
  Be an active part of the development lifecycle. Collaborate with team members, perform code reviews, and improve CI/CD process.

• 5+ years of professional software engineering experience with increasing scope and responsibility
• Strong proficiency in Python including scientific computing (Num Py, pandas, scikit-learn) and production systems
• Experience with C++ or another statically-typed language in production environments
• Track record of designing and building data pipelines or real-time processing systems
• Experience with cloud infrastructure (AWS preferred: EC2, EKS, S3, RDS) and containerization (Docker)
• Demonstrated ability to own projects end-to-end—from design through deployment and maintenance
• Strong communication skills with experience mentoring other engineers

• Experience building and deploying SDKs, particularly for real-time or edge applications
• Background in signal processing, time-series analysis, or sensor data systems
• Unity development experience or familiarity with VR/AR platforms
• Experience with ML infrastructure, model serving, or MLOps tooling
• Familiarity with Apache Airflow, data orchestration, or streaming systems
• Prior work with eye-tracking, biosensors, or human performance metrics

This position reports to the VP of Engineering. If you're a curious technologist excited to grow your skills while working on challenging, real-world problems, we'd love to hear from you.

• Your resume
• Git Hub profile or portfolio of projects
• A brief note on what excites you about this role