Platform Engineer

Job not on LinkedIn

🔥 0 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🏗️ Platform Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RightEye

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

💰 $1M Debt Financing on 2020-03

Healthcare • Consulting • Manufacturing

RightEye is a company that specializes in advanced eye-tracking technology to enhance various fields such as eye care, rehabilitation, education, and sports. They offer products like the RightEye Sensorimotor System, an automated eye exam tool that helps eye care providers identify and address visual tracking impairments. Their technology is supported by over 30 years of scientific research and is used to improve patient care, educational outcomes, and athletic performance. RightEye's solutions also extend to eye-tracking data licensing, aimed at integrating such data with AR/VR applications.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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