Company Description
HarmonEyes 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, HarmonEyes 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), HarmonEyes is used by the world's leading organizations in technology, aviation/automotive, healthcare, and elite performance in military and sports.
Job Description
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.
What You'll Do
- 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 productionize ML models.
- SDLC: be an active part of the development lifecycle. Collaborate with team members, perform code reviews, and improve CI/CD process.
Qualifications
Required
- 5+ years of professional software engineering experience with increasing scope and responsibility
- Strong proficiency in Python including scientific computing (NumPy, 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
Highly Desirable
- 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
Additional Information
How to Apply
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.
Please submit with:
- Your resume
- GitHub profile or portfolio of projects
- A brief note on what excites you about this role
