Platform Engineer

🕒 il y a 7 jours

🦀 Maryland – Distant

🦀 Maryland – Remote

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🏗️ Ingénieur Plateforme

🚫👨‍🎓 Aucun diplôme requis

👻 Score fantôme 12%

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RightEye

Site WebLinkedInTous les Emplois

11 - 50 employés

🏥 Santé

💼 Conseil

🏭 Fabrication

💰 €1 000 000 Debt Financing en 2020-03

Healthcare • Consulting • Manufacturing

RightEye est une entreprise spécialisée dans la technologie avancée de suivi oculaire pour améliorer divers domaines tels que les soins oculaires, la réhabilitation, l'éducation et le sport. Ils proposent des produits comme le RightEye Sensorimotor System, un outil d'examen oculaire automatisé qui aide les professionnels de la santé oculaire à identifier et traiter les troubles du suivi visuel. Leur technologie est soutenue par plus de 30 ans de recherches scientifiques et est utilisée pour améliorer les soins aux patients, les résultats éducatifs et la performance sportive. Les solutions de RightEye s'étendent également à la licence de données de suivi oculaire, visant à intégrer ces données dans des applications AR/VR.

Description

• Design, build, and maintain the Theia SDK in Python and C++ for real-time eye-tracking inference across desktop, mobile, embedded, and XR platforms • Own SDK packaging, performance, versioning, and developer experience • Design and implement APIs and backend services for data ingestion, model serving, licensing, and customer integrations • Build and operate AWS infrastructure, including containerized services on Kubernetes, infrastructure-as-code, CI/CD, and monitoring • Build internal tools, dashboards, and customer-facing web interfaces • Build and scale pipelines processing millions of eye-tracking records for training, evaluation, and analytics • Clean, transform, validate, and analyze large tabular datasets • Build tooling enabling ML teams to explore and work with data efficiently • Partner with ML engineers to deploy, optimize, and monitor models in production and at the edge • Perform model conversion, latency and memory optimization, and inference pipeline development

🎯 Exigences

• 2–4 years of professional software engineering experience building production systems • Strong Python skills, including packaging and distributing libraries • Working familiarity with C++, including reading, modifying, and building C++ code in a cross-platform codebase • Experience designing and building APIs such as REST or gRPC and backend services • Hands-on experience with AWS, containers, and CI/CD • Experience working with large tabular datasets in pandas, including data cleaning, transformation, aggregation, and performance at scale • Working familiarity with machine learning and understanding of the model lifecycle, including deploying or integrating ML models in a product • Strong communication skills and comfort working across engineering and research teams • 1 year of experience in a research setting developing or working with ML research domains • Nice to have: experience building and shipping SDKs or libraries used by external developers • Nice to have: SQL and database engineering, including schema design, query optimization, and PostgreSQL or similar • Nice to have: Kubernetes and infrastructure-as-code such as Terraform • Nice to have: frontend experience such as React • Nice to have: edge or on-device inference technologies such as ONNX Runtime, TensorRT, TFLite, or Core ML • Nice to have: Python compilation or distribution tooling such as Nuitka, Cython, or pybind11 • Nice to have: exposure to time-series, sensor, or signal-processing data • Nice to have: interest in VR/AR, eye tracking, or human-computer interaction

🏖️ Avantages

• Remote role • Room to grow into automation, tooling, and AI-engineering work • Direct exposure to real-time eye-tracking, ML pipelines, SDKs, and VR/AR integrations • Tight feedback loop with senior engineering and leadership • Opportunity to work on software whose impact is felt across the company

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