Staff Engineer – Robust AI Infrastructure

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Company:

Qualcomm China

## Job Area:

Engineering Group, Engineering Group > Software Test Engineering

General Summary:

We are seeking a highly motivated Staff Engineer to drive next-generation GenAI platform development and robust AI infrastructure for the automotive software engineering team. This role focuses on leveraging GenAI frameworks and APIs to build scalable AI-powered tools, intelligent agentic workflows, and engineering assistants that accelerate development velocity, improve product quality, and enhance engineering efficiency. The ideal candidate combines strong software engineering fundamentals with deep hands-on experience in GenAI application development and AI system integration.

Key Responsibilities

1\. GenAI-Based Application & Tool Development

• Leverage GenAI frameworks and APIs to design and develop AI-powered engineering tools and intelligent assistants for the automotive team.

• Build and extend GenAI-powered multi-agent applications that support coding productivity, knowledge assistance, issue triage, and engineering task orchestration.

• Develop agentic workflows using LangChain/LangGraph and Model Context Protocol (MCP) services to interface AI tools with internal systems (Jira, Confluence, Gerrit, Orbit, Axiom).

• Integrate AI solutions with engineering systems such as source repositories, CI/CD toolchains, and internal platforms to deliver end-to-end productivity gains. • Rapidly prototype and evaluate emerging GenAI capabilities and deploy proof-of-concept solutions for high-impact engineering use cases.

2\. Robust AI Infrastructure & Platform Development

• Design and build scalable, reliable AI infrastructure that supports GenAI application development, deployment, and operation at team scale.

• Develop and maintain RAG (Retrieval-Augmented Generation) pipelines, vector databases, and knowledge retrieval systems to power intelligent search and Q&A; applications.

• Architect robust backend services and APIs that expose GenAI capabilities to engineering tools and agentic systems.

• Ensure high availability, observability, and maintainability of AI platform components including model serving, prompt management, and inference pipelines. • Contribute to platform security, data privacy, and responsible AI practices in all developed systems.

3\. AI System Advancement & Innovation

• Drive practical integration of GenAI capabilities into engineering workflows to accelerate productivity and solution scalability.

• Develop and optimize multi-agent architectures to improve engineering workflow orchestration and task automation.

• Build intelligent dashboards and smart reporting tools that surface engineering insights through AI-driven analytics.

• Collaborate with cross-functional teams to identify high-impact use cases and deliver innovative AI-powered solutions.

• Champion AI best practices, contribute to internal knowledge sharing, and mentor teammates on GenAI platform development.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Software Engineering, or related field.

• 6+ years of experience in software engineering, with focus on AI/ML systems, platform development, or related technical domains.

• Strong programming skills in Python, and familiarity with C/C++ or similar languages.

• Hands-on experience with LLM integration, GenAI application development, and AI platform architecture.

• Strong problem-solving skills with the ability to design and implement practical, production-grade engineering solutions.

Preferred Qualifications

• Experience with GenAI frameworks and APIs (e.g., LangChain, LangGraph, OpenAI API, or equivalent internal platforms).

• Experience with Model Context Protocol (MCP) services and multi-agent system design.

• Familiarity with RAG systems, vector databases (e.g., FAISS, Chroma), and knowledge retrieval pipelines.

• Experience integrating internal or third-party tools with Jira, Confluence, Git, and related engineering platforms.

• Experience with automotive software or embedded platform development.

• Experience in prototyping, evaluating, and scaling AI-enabled productivity solutions in engineering environments. Key Competencies

• Strong ownership and execution mindset.

• Deep understanding of GenAI platform engineering and AI-enabled development workflows.

• Excellent cross-functional collaboration and communication skills.

• Ability to balance technical depth, innovation, and practical delivery

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Test Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Test Engineering or related work experience.

• 2+ year of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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