Platform Engineer

Job Description
As a Platform Engineer youll build and own the software that takes our ML models from research to production: the Theia SDK that runs real-time inference at the edge the APIs and services our customers and partners integrate with and the cloud infrastructure behind our data and model pipelines. Youll work closely with our ML engineers and researchers so youll need to understand how models are trained evaluated and deployed but your core focus is building reliable well-designed systems around them.

What Youll Do

• SDK Development: Design build and maintain the Theia SDK in Python and C delivering real-time eye-tracking inference across desktop mobile embedded and XR platforms. Own packaging performance versioning and the developer experience.
• API & Backend Development: Design and implement APIs and backend services for data ingestion model serving licensing and customer integrations with a focus on clean interfaces reliability and security.
• Cloud Engineering: Build and operate infrastructure on AWS including containerized services on Kubernetes infrastructure-as-code CI/CD and monitoring.
• Full Stack: Build internal tools dashboards and customer-facing web interfaces that make our data and models accessible.
• Data Science Engineering: Build and scale the pipelines that process millions of eye-tracking records for training evaluation and analytics. Clean transform validate and analyze large tabular datasets and build the tooling that lets our ML team explore and work with data efficiently.
• ML Productionization: Partner with ML engineers to deploy optimize and monitor models in production and at the edge including model conversion latency and memory optimization and inference pipelines.

Qualifications :

Qualifications

Required

• 24 years of professional software engineering experience building production systems
• Strong Python skills including packaging and distributing libraries
• Working familiarity with C (reading modifying and building C code in a cross-platform codebase)
• Experience designing and building APIs (REST gRPC or similar) and backend services
• Hands-on experience with AWS containers and CI/CD
• Experience working with large tabular datasets in pandas (data cleaning transformation aggregation and performance at scale)
• Working familiarity with machine learning: you understand the model lifecycle and have helped deploy or integrate ML models in a product
• Strong communication skills and comfort working across engineering and research teams

Nice to Have

• Experience building and shipping SDKs or libraries used by external developers
• SQL and database engineering (schema design query optimization PostgreSQL or similar)
• Kubernetes and infrastructure-as-code (Terraform or similar)
• Frontend experience (React or similar)
• Edge or on-device inference (ONNX Runtime TensorRT TFLite Core ML or similar)
• Python compilation or distribution tooling (Nuitka Cython pybind11 or similar)
• Exposure to time-series sensor or signal-processing data
• Interest in VR/AR eye tracking or human-computer interaction
• 1 year experience in a research setting (developing or working with ML research domains)

Additional Information :

Why Join Us

• Remote role with room to grow into automation tooling and AI-engineering worknot a pure manual-QA seat
• Direct exposure to a novel technical stack: real-time eye-tracking ML pipelines SDKs and VR/AR integrations
• Tight feedback loop with senior engineering and leadershipthe work you ship is felt across the company

How to Apply

This position reports into the engineering team. Were looking for someone who pairs solid QA fundamentals with curiosity for automation and AI-assisted workflows.

With your submission please attach:

1. Your resume
2. GitHub profile portfolio or links to relevant work (test suites scripts automations welcome)
3. A short note on a bug youre proud of findingor an automation/script that saved you or your team meaningful time

Remote Work :

Yes

Employment Type :

Full-time