Software Engineer

Job DescriptionWe 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.ResponsibilitiesResponsibilities:Edge Software Integration: Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks.Full-Stack API Development: Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends.Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry.Web Interfaces: Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights.AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality.Incremental and Iterative Delivery: Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuouslyCross-Functional Deployment: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.QualificationsRequired Qualifications:Experience: 3+ years of professional software engineering experience in a production environment.Edge Development: Proven experience deploying software to edge computing hardware or IoT devices.Backend Mastery: Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js).Cloud Fluency: Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services.Modern Frontend: Experience building responsive web applications with React or similar modern frameworks.DevOps Basics: Familiarity using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and disciplined version control approach (GIT based)Desired Skills: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.