Software Engineer

RightEye-posted about 5 hours ago
Full-time • Mid Level
Bethesda, MD
1-10 employees
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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 productionize 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 (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
  • 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
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