
Senior Software Architect
4 days ago
We are seeking an experienced full-stack developer to design, develop and deploy scalable applications for unmanned aerial vehicle systems with a focus on low latency, real-time data processing and high performance.
The ideal candidate will be proficient in both front-end and back-end programming. They will collaborate with other software engineers and AI/ML experts to develop a comprehensive drone flight solution that enables seamless execution of enterprise drone missions.
Key Responsibilities:
- Design, build and maintain robust server and database architectures for high-performance full-stack applications.
- Manage the entire software development lifecycle from conception to deployment.
- Work on our React-based drone management portal, ensuring seamless integration with drone applications and handling features such as flight plans, user management and admin tasks.
- Develop and optimize Android/iOS UAV control applications using existing drone SDKs to communicate with front-end and back-end systems.
- Build upon novel technology offerings including computer vision and object detection on low-compute devices.
- Collaborate with cross-functional product development teams and be responsible for designing and building drone applications.
- Integrate IoT and edge devices, manage high-bandwidth sensor data, perform sensor fusion and optimize edge computing solutions for real-time UAV telemetry.
- Implement solutions for 3D environment modeling using LIDAR-equipped drones.
- Diagnose, troubleshoot and optimize software performance for real-time UAV operations.
- Collaborate on framework evolution by building reusable code and libraries.
- Develop advanced UAV analytics dashboards integrating real-time telemetry and geospatial data.
Required Skills and Qualifications:
- Proficient in both front-end and back-end development.
- Web technologies: React.js, Vue.js, WebGL, Three.js, CesiumJS.
- Mobile apps: Flutter, React Native.
- Ground control software: QGroundControl, Mission Planner.
- Experience in mapbox/mapping solutions, mapping libraries (GDAL, Geopandas), OpenGL.
- Cloud & IoT backend: AWS IoT Greengrass, Azure IoT Edge, Google Cloud, AWS Lambda.
- Database & data processing: PostgreSQL, MongoDB, Apache Kafka, MQTT.
- Server-side frameworks: FastAPI, Flask, Node.js.
- DevOps: Jenkins, GitHub Actions, GitLab CI/CD.
- Containerization & orchestration: Docker, Kubernetes.
- Infrastructure as code: Terraform, AWS CloudFormation.
- MLOps: MLflow, Kubeflow.
- Experience in LIDAR/3D mapping.
- Solid understanding of engineering principles, data structures and database management.
- Experience with Linux environments.
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