Description
We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems.
You will develop the connective tissue between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend.
This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world.
Responsibilities
- Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks.
- Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends.
- Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry.
- Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights.
- Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality.
- Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.
Qualifications
- 5+ years of professional software engineering experience in a production environment.
- Proven experience deploying software to edge computing hardware or IoT devices.
- Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js).
- Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services.
- Experience building responsive web applications with React or similar modern frameworks.
- Familiarity with Docker, CI/CD pipelines, and version control (Git).
- Experience with OpenCV, TensorRT, or OpenVINO for vision optimization.
- Familiarity with ML frameworks like PyTorch or TensorFlow.
- Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming.
- A passion for Agentic workflows and continuous improvement.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71008