Full Stack Software Engineer, Staff

Job description

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Hardware Engineering General Summary Job Description Qualcomm's CAD Infrastructure team develops and operates mission-critical engineering platforms used by thousands of engineers across CPU, DSP, AI, SoC, Physical Design, Verification, and Software organizations. We are seeking a Senior Full Stack Software Engineer to design, build, and scale modern web applications, automation platforms, data services, and AI-enabled solutions that improve engineering productivity across the company. This role is ideal for an experienced engineer who enjoys working across the full technology stack—from intuitive front-end user experiences to highly scalable backend services, cloud-native infrastructure, data platforms, and AI-driven workflows. You will collaborate closely with engineering teams, technical program managers, DevOps engineers, and infrastructure architects to deliver tools that are used daily by Qualcomm's engineering community. Minimum Qualifications • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Responsibilities • Design, develop, and maintain enterprise-grade full stack applications used across engineering organizations. • Build modern web UIs using React, TypeScript, and modern frontend frameworks. • Develop scalable backend services and APIs using Python, Node.js, FastAPI, Express, or similar technologies. • Design and implement RESTful and GraphQL APIs. • Build and optimize large-scale data platforms leveraging SQL and NoSQL databases. • Develop automation workflows for engineering productivity, infrastructure management, analytics, and reporting. • Partner with infrastructure teams to deploy and operate applications in Kubernetes and containerized environments. • Build dashboards, reporting platforms, and data visualization tools. • Integrate AI/ML and LLM technologies into internal engineering workflows where applicable. • Drive software architecture discussions, technical design reviews, and best practices. • Mentor junior engineers and contribute to engineering excellence across the team. • Troubleshoot performance, scalability, reliability, and security issues in production environments. • Collaborate with cross-functional teams to translate business and engineering requirements into technical solutions. Required Qualifications • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related field. • 8+ years of professional software development experience. • Strong experience building and deploying full stack web applications. • Expert-level programming skills in Python. • Strong experience with JavaScript/TypeScript and Node.js. • Experience developing modern front-end applications using React. • Experience building REST APIs and microservices. • Strong understanding of software design patterns, object-oriented programming, and distributed systems. • Experience with relational databases such as PostgreSQL, MySQL, or SQL Server. • Experience with NoSQL databases such as MongoDB. • Experience with Git-based development workflows. • Experience working in Linux environments. • Strong debugging, performance tuning, and problem-solving skills. • Excellent communication and collaboration skills. Preferred Qualifications • Experience supporting EDA, CAD, semiconductor design, verification, or high-performance computing environments. • Experience with Kubernetes, Docker, Rancher, or cloud-native platforms. • Experience with CI/CD pipelines and DevOps practices. • Experience with message brokers such as RabbitMQ, Kafka, or similar technologies. • Experience building data analytics and reporting solutions. • Experience with Elasticsearch, Kibana, Splunk, or observability platforms. • Experience with LSF, Slurm, or distributed job scheduling systems. • Experience developing AI/LLM-powered applications and integrations. • Experience with authentication frameworks such as OAuth2, SAML, LDAP, or Active Directory. • Experience leading technical projects and mentoring engineers. Technical Skills Front End • React • TypeScript • JavaScript (ES6+) • Redux / Zustand • HTML5 • CSS3 • Material UI / AG Grid • Modern UI/UX design principles Back End • Python • FastAPI • Node.js • Express.js • REST APIs • GraphQL Databases • MongoDB • PostgreSQL • MySQL • Redis Infrastructure & DevOps • Kubernetes • Docker • Git • CI/CD Pipelines • Linux • Terraform (preferred) Data & Analytics • SQL • Elasticsearch • Kibana • Splunk • Data Pipelines AI & Emerging Technologies • LLM Integration • RAG Architectures • Agentic AI Systems • Vector Databases What Success Looks Like • Deliver highly scalable platforms used by thousands of engineers. • Increase engineering productivity through automation and self-service solutions. • Improve reliability, performance, and observability of critical infrastructure services. • Lead architectural decisions for next-generation CAD infrastructure platforms. • Mentor engineers and elevate engineering standards across the organization. Why Qualcomm CAD Infrastructure? Join a team responsible for building the platforms that enable Qualcomm's world-class semiconductor and AI products. Your work will directly impact engineering efficiency, design productivity, and innovation across multiple generations of Snapdragon and other leading technologies. Applicants : Qualcomm