Full Stack Software Engineer, Staff

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…