Full Stack Architect

Be part of a cutting-edge company transforming the Analog, RF, and Mixed-Signal design landscape.

Position Overview

We are seeking a Full Stack Architect to lead the end-to-end integration of UI/UX, backend, and AI components for our AI-driven EDA product. This role demands a technical leader who can design and oversee scalable, secure, and high-performance full-stack solutions.

Required Skills & Qualification

• Frontend: React.js or Angular or Vue.js, WebSockets, RESTful APIs.

• Backend: GraphQL, Node.js (Prefferd) / Python (FastAPI, Flask, Django) / Java / Spring Boot.

• AI Integration: Experience integrating AI/ML models via REST/ GraphQL APIs / TensorFlow Serving / ONNX, or custom AI pipelines.

• Databases: PostgreSQL / MongoDB/ Neo4j (GraphDB) / Redis / Firebase.

• Cloud & DevOps: AWS / GCP / Azure, Kubernetes, Docker, Terraform, CI/CD (Jenkins, GitHub Actions).

• Security: OAuth2, JWT, Role-Based Access Control (RBAC), Secure API design.

• Experience with EDA tools, AI-driven design automation and real-time interface systems is a plus.

• Master's or bachelor's degree in computer science, Engineering, or related field.

Job Overview

• Define and implement a scalable and modular full-stack architecture integrating UI/UX, backend, and AI engine. • Optimize backend services for low-latency AI inference and large dataset processing. • Define security standards, authentication, and authorization protocols across all layers. • Integration of AI models into the backend via APIs, microservices, or containerized deployments. • Ensure frontend frameworks (React, Angular, Vue) interact seamlessly with backend services. • Implement best DevOps practices for CI/CD pipelines, automated testing, and deployment. • Conduct performance benchmarking, ensure the system supports real-time and batch processing efficiently. • Optimize backend databases (PostgreSQL, NoSQL, GraphDB) for fast AI inference and user interactions.

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