AI Engineer Jobs at Qualcomm with Visa Sponsorship
AI Engineer jobs at Qualcomm span chip-level inference, on-device machine learning, and media processing pipelines. The company has an established sponsorship process for this function and actively files across multiple visa categories, making it a viable target for international candidates pursuing long-term U.S. work authorization.
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Company Overview
Qualcomm is a world leader in wireless technology and the driving force behind the connected intelligent edge. To support our global engineering workforce, we are building a state-of-the-art Internal AI Ecosystem—a proprietary platform that empowers thousands of engineers with intelligent coding assistants, autonomous agents, and knowledge retrieval systems.
ROLE OVERVIEW
As a Staff AI Development Engineer, you will be a lead architect in the design and implementation of our proprietary internal AI framework. You will move beyond simple "prompt engineering" to build robust, stateful, and cyclic multi-agent systems using LangGraph and LangChain. This is a high-impact software engineering role. You will not rely on rigid, off-the-shelf agent frameworks (like AutoGen or CrewAI). Instead, you will use low-level primitives to architect custom control flows, enabling LLMs to reason, plan, and execute complex tasks across Qualcomm’s massive engineering data landscape. You will define how agents maintain state, handle interrupts, and interact with internal APIs, setting the standard for AI application development across the company.
KEY RESPONSIBILITIES
- Advanced Agentic Architecture Custom Workflow Design: Architect and implement complex, cyclic AI workflows using LangGraph. Design state machines that enable agents to plan, execute, reflect, and retry tasks autonomously.
- State Management: Engineer robust persistence layers (checkpointers) to manage long-running agent conversations, enabling "human-in-the-loop" interactions where users can guide or correct agent behavior mid-flight.
- Multi-Agent Orchestration: Build custom orchestration layers where specialized agents (e.g., "Code Reviewer," "Doc Searcher," "Test Generator") collaborate via defined graph edges and conditional routing logic.
- Framework & Tool Development Internal SDK Evolution: Contribute core features to Qualcomm’s internal Python AI SDK, simplifying how other teams consume LLMs, embeddings, and vector stores.
- Tool Abstraction: Develop standardized interfaces (based on LangChain tools) that allow agents to securely interact with enterprise systems (Jira, GitLab, SQL Databases, Proprietary APIs).
- Graph-Based RAG: Go beyond simple semantic search by implementing GraphRAG and advanced retrieval strategies. Build pipelines that combine vector search with knowledge graph traversals to answer complex engineering queries.
- Production Engineering & Scalability Asynchronous Python: Write high-performance, non-blocking Python code using asyncio to handle concurrent agent execution and high-throughput token streaming.
- API Design: Expose agent workflows via FastAPI microservices, ensuring strict typing (Pydantic), validation, and comprehensive open-api documentation.
- Evaluation & Observability: Design "LLM-as-a-Judge" evaluation pipelines to measure the efficacy of custom agent graphs. Implement tracing (e.g., LangSmith or internal equivalents) to debug complex chains of thought.
- Technical Leadership Pattern Definition: Define and document design patterns for agentic AI (e.g., Plan-and-Solve, ReAct, Map-Reduce) for the wider engineering organization.
- Mentorship: Serve as a technical mentor to Senior and Junior engineers, conducting rigorous code reviews and driving best practices in Python software design and AI safety.
BASIC QUALIFICATIONS
- 7+ years of professional Software Engineering experience.
- Python Mastery: Expert-level proficiency in Python. Deep understanding of AsyncIO, Pydantic, decorators, and metaprogramming.
- LangChain/LangGraph: Proven, hands-on experience building applications with LangChain and LangGraph. You must understand the difference between a Chain (DAG) and a Graph (Cyclic) and know when to apply each.
- AI Fundamentals: Solid understanding of LLM mechanics (context windows, tokenization, temperature), embedding models, and vector stores.
- System Design: Experience architecting distributed systems, microservices, and handling state in stateless environments (REST).
PREFERRED QUALIFICATIONS
- Master’s or PhD in Computer Science or Artificial Intelligence.
- Advanced RAG: Experience implementing Hybrid Search (Keyword + Semantic), Re-ranking (Cross-Encoders), or Parent-Child document retrieval strategies.
- Graph Theory: Academic or practical understanding of graph theory, finite state machines (FSM), and their application to AI control flow.
- Database Expertise: Hands-on experience with Vector Databases (Milvus, Qdrant, Chroma) and Graph Databases (Neo4j).
- DevOps/MLOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines for deploying AI applications.
- Evaluation Frameworks: Experience with frameworks like Ragas or DeepEval for quantifying RAG and Agent performance.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
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 disability-accomodations@qualcomm.com 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).
TO ALL STAFFING AND RECRUITING AGENCIES: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO EMPLOYER: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
PAY RANGE AND OTHER COMPENSATION & BENEFITS
$134,800.00 - $202,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers.
INTRODUCTION
Company Overview
Qualcomm is a world leader in wireless technology and the driving force behind the connected intelligent edge. To support our global engineering workforce, we are building a state-of-the-art Internal AI Ecosystem—a proprietary platform that empowers thousands of engineers with intelligent coding assistants, autonomous agents, and knowledge retrieval systems.
ROLE OVERVIEW
As a Staff AI Development Engineer, you will be a lead architect in the design and implementation of our proprietary internal AI framework. You will move beyond simple "prompt engineering" to build robust, stateful, and cyclic multi-agent systems using LangGraph and LangChain. This is a high-impact software engineering role. You will not rely on rigid, off-the-shelf agent frameworks (like AutoGen or CrewAI). Instead, you will use low-level primitives to architect custom control flows, enabling LLMs to reason, plan, and execute complex tasks across Qualcomm’s massive engineering data landscape. You will define how agents maintain state, handle interrupts, and interact with internal APIs, setting the standard for AI application development across the company.
KEY RESPONSIBILITIES
- Advanced Agentic Architecture Custom Workflow Design: Architect and implement complex, cyclic AI workflows using LangGraph. Design state machines that enable agents to plan, execute, reflect, and retry tasks autonomously.
- State Management: Engineer robust persistence layers (checkpointers) to manage long-running agent conversations, enabling "human-in-the-loop" interactions where users can guide or correct agent behavior mid-flight.
- Multi-Agent Orchestration: Build custom orchestration layers where specialized agents (e.g., "Code Reviewer," "Doc Searcher," "Test Generator") collaborate via defined graph edges and conditional routing logic.
- Framework & Tool Development Internal SDK Evolution: Contribute core features to Qualcomm’s internal Python AI SDK, simplifying how other teams consume LLMs, embeddings, and vector stores.
- Tool Abstraction: Develop standardized interfaces (based on LangChain tools) that allow agents to securely interact with enterprise systems (Jira, GitLab, SQL Databases, Proprietary APIs).
- Graph-Based RAG: Go beyond simple semantic search by implementing GraphRAG and advanced retrieval strategies. Build pipelines that combine vector search with knowledge graph traversals to answer complex engineering queries.
- Production Engineering & Scalability Asynchronous Python: Write high-performance, non-blocking Python code using asyncio to handle concurrent agent execution and high-throughput token streaming.
- API Design: Expose agent workflows via FastAPI microservices, ensuring strict typing (Pydantic), validation, and comprehensive open-api documentation.
- Evaluation & Observability: Design "LLM-as-a-Judge" evaluation pipelines to measure the efficacy of custom agent graphs. Implement tracing (e.g., LangSmith or internal equivalents) to debug complex chains of thought.
- Technical Leadership Pattern Definition: Define and document design patterns for agentic AI (e.g., Plan-and-Solve, ReAct, Map-Reduce) for the wider engineering organization.
- Mentorship: Serve as a technical mentor to Senior and Junior engineers, conducting rigorous code reviews and driving best practices in Python software design and AI safety.
BASIC QUALIFICATIONS
- 7+ years of professional Software Engineering experience.
- Python Mastery: Expert-level proficiency in Python. Deep understanding of AsyncIO, Pydantic, decorators, and metaprogramming.
- LangChain/LangGraph: Proven, hands-on experience building applications with LangChain and LangGraph. You must understand the difference between a Chain (DAG) and a Graph (Cyclic) and know when to apply each.
- AI Fundamentals: Solid understanding of LLM mechanics (context windows, tokenization, temperature), embedding models, and vector stores.
- System Design: Experience architecting distributed systems, microservices, and handling state in stateless environments (REST).
PREFERRED QUALIFICATIONS
- Master’s or PhD in Computer Science or Artificial Intelligence.
- Advanced RAG: Experience implementing Hybrid Search (Keyword + Semantic), Re-ranking (Cross-Encoders), or Parent-Child document retrieval strategies.
- Graph Theory: Academic or practical understanding of graph theory, finite state machines (FSM), and their application to AI control flow.
- Database Expertise: Hands-on experience with Vector Databases (Milvus, Qdrant, Chroma) and Graph Databases (Neo4j).
- DevOps/MLOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines for deploying AI applications.
- Evaluation Frameworks: Experience with frameworks like Ragas or DeepEval for quantifying RAG and Agent performance.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
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 disability-accomodations@qualcomm.com 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).
TO ALL STAFFING AND RECRUITING AGENCIES: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO EMPLOYER: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
PAY RANGE AND OTHER COMPENSATION & BENEFITS
$134,800.00 - $202,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers.
See all AI Engineer Jobs at Qualcomm
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Qualcomm.
Get Access To All JobsTips for Finding AI Engineer Jobs at Qualcomm
Frame your portfolio around on-device AI
Qualcomm's AI hiring centers on edge inference and neural processing units, not cloud-scale model training. Showcase projects involving model quantization, INT8 deployment, or TensorFlow Lite to signal direct relevance before your resume even reaches a recruiter.
Verify your employer's E-Verify enrollment early
Qualcomm participates in E-Verify, which is required for F-1 OPT STEM extensions. Confirm your offer letter references STEM OPT eligibility explicitly before your initial 12-month OPT period expires, since the extension window is narrow.
Distinguish H-1B1 from H-1B if you hold Chilean or Singaporean citizenship
Qualcomm sponsors H-1B1 visas, which skip the annual lottery entirely. If you qualify, target this category directly when discussing sponsorship with your recruiter rather than defaulting to the cap-subject H-1B process.
Target Qualcomm's media and entertainment AI teams
Roles focused on video codec optimization, real-time rendering AI, and spatial audio processing sit at the intersection of Qualcomm's chip business and media industry demand. Positioning yourself here narrows competition and aligns with active headcount growth in this vertical.
Align your start date with H-1B cap timelines
USCIS opens H-1B registration in March each year with an October 1 start date if selected. When negotiating your Qualcomm offer, confirm whether premium processing is on the table to reduce the I-129 adjudication window from several months to around 15 business days.
Use Migrate Mate to find open AI Engineer roles at Qualcomm
Qualcomm's AI Engineer postings are spread across multiple teams and requisition systems. Migrate Mate filters open roles by visa type and employer, so you can identify which Qualcomm positions are currently active for sponsored candidates without manually tracking their careers page.
Frequently Asked Questions
Does Qualcomm sponsor H-1B visas for AI Engineers?
Yes, Qualcomm sponsors H-1B visas for AI Engineers and has a well-established sponsorship process for this role category. The company files across both cap-subject H-1B and cap-exempt pathways depending on your situation, and also supports Green Card sponsorship through EB-2 and EB-3 classifications for longer-tenured employees moving toward permanent residence.
How do I apply for AI Engineer jobs at Qualcomm?
Applications go through Qualcomm's official careers portal, where AI Engineer roles are listed under engineering and research categories. Use Migrate Mate to browse currently open, visa-sponsorship-eligible AI Engineer positions at Qualcomm filtered by visa type, which saves time compared to manually tracking individual postings across Qualcomm's various business units and lab locations.
Which visa types does Qualcomm commonly use for AI Engineer roles?
Qualcomm sponsors H-1B, H-1B1 visa, TN visa, F-1 OPT, F-1 CPT, and J-1 visas for AI Engineers, along with immigrant visa pathways through EB-2 and EB-3 PERM labor certification. F-1 OPT holders in AI Engineering typically qualify for the 24-month STEM OPT extension, giving additional runway before an H-1B petition needs to be filed.
What qualifications does Qualcomm expect for AI Engineer roles?
Most Qualcomm AI Engineer postings require a bachelor's degree at minimum in computer science, electrical engineering, or a closely related field, with a master's or Ph.D. preferred for research-oriented positions. Practical experience with on-device machine learning frameworks, neural network optimization, and hardware-aware model deployment carries significant weight, particularly for roles tied to Qualcomm's Snapdragon and Hexagon processor lines.
How do I time the sponsorship process if I'm starting as an F-1 OPT student?
If you begin at Qualcomm on F-1 OPT, your employer needs to file your STEM OPT extension with USCIS at least 90 days before your initial OPT expires. Qualcomm would then file your H-1B registration in March for the following October start. Coordinating these two deadlines carefully, ideally within your first few months on the job, prevents gaps in work authorization.