RightEye

• QA & Testing: Design, execute, and maintain manual and automated tests for the Theia™ SDK, internal data platform, and web tooling. • Write clear test plans and reproducible bug reports. • Test Automation: Build and extend automated test suites (unit, integration, E2E, API, regression) using Python-based frameworks. • Integrate tests into CI so failures surface early. • Scripts & Internal Automations: Write scripts that take repetitive work off the team's plate—data wrangling utilities, log/report scrapers, environment setup helpers, release checklists, and small internal tools. • Jira & Project Hygiene: Own Jira workflows, ticket grooming, dashboards, and reporting. • Keep boards clean, link defects to root cause, and help the team operate with predictable sprint cadence. • AI Dev Automations: Help build and maintain our AI-assisted development tooling—agent workflows, prompt libraries, automated PR reviewers, evaluation harnesses, and configurations that make the rest of engineering faster. • Quality Advocacy: Partner with engineering, data science, and product to shift quality left—reviewing specs, contributing to design discussions, and championing testability.

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 Junior Software Engineer, you'll work alongside experienced engineers to build the systems powering our eye-tracking analytics platform. This is an ideal role for someone eager to grow their skills across the full stack—from real-time data pipelines to ML infrastructure. What You'll Do Learn & Build: Develop features across our codebases with mentorship from senior engineers. Write clean, tested code and participate in code reviews. Data Pipeline Development: Help build and maintain data ingestion workflows for processing eye-tracking signals from various hardware sources. SDK Development: Contribute to our Theia SDK, working on various platforms and operating systems. Infrastructure Support: Assist with AWS infrastructure (EC2, S3, RDS) and help improve CI/CD pipelines and deployment automation. Documentation: Write clear technical documentation and help maintain internal knowledge bases. Develop POCs: research new technologies and build out proof-of-concepts from the ground up then report findings to the VP of Engineering. Qualifications A brief note on what excites you about this role

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

• Develop features across our codebases with mentorship from senior engineers • Write clean, tested code and participate in code reviews • Help build and maintain data ingestion workflows for processing eye-tracking signals from various hardware sources • Contribute to our Theia SDK, working on various platforms and operating systems • Assist with AWS infrastructure (EC2, S3, RDS) and help improve CI/CD pipelines and deployment automation • Write clear technical documentation and help maintain internal knowledge bases • Research new technologies and build out proof-of-concepts from the ground up then report findings to the VP of Engineering