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Senior AI Systems Engineer – Graphics Design Verification at Qualcomm - QATestingJobs.com
Senior AI Systems Engineer – Graphics Design Verification
Qualcomm • San Diego, California, United States
onsitefull-time
Salary: $133,600 - $232,600 / year
Posted Feb 6, 2026Apply by Aug 5, 2026
Role & seniority: Senior AI Systems Engineer (production AI tooling for graphics verification)
Stack/tools: Python-based AI systems; Large Language Models (LLMs); agentic workflows; tool-using agents and orchestration; Model Context Protocol (MCP) integrations; APIs, testing, version control; Linux-based development environments
Top 3 responsibilities
Architect, implement, and own AI-powered verification tools used by graphics engineering teams
Build Python AI tooling leveraging LLMs, agentic workflows, tools, orchestration, and MCP-based integrations for verification workflows
Integrate AI tooling into existing verification infrastructure, and design evaluation/reliability mechanisms for correctness, traceability, and safe operation
Must-have skills
BS/MS in Computer Science/Engineering or related field, with 6+ years building production software (or PhD/alternative combos per listing)
Strong Python proficiency; experience delivering tools used by engineers
Hands-on experience building LLM-based or generative AI systems (agents, tool use, orchestration)
Solid software engineering fundamentals (APIs, testing, version control, maintainability)
Nice-to-haves
Experience with Model Context Protocol (MCP) or similar model-to-tool integrations
Designing agentic or multi-step reasoning systems
Building evaluation frameworks for AI system quality/reliability
Background in hardware design verification, EDA, or complex engine
Full Description
Company
Qualcomm Technologies, Inc.
Job Area
Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary
We are seeking a Senior AI Systems Engineer to design and deliver production‑grade AI‑powered tools for graphics design verification. This role focuses on building AI systems, not data science or offline ML modeling. You will develop Python‑based tooling that integrates large language models, agentic workflows, and Model Context Protocol (MCP)–based integrations directly into real verification workflows used to validate next‑generation GPUs.
Success in this role is defined by shipping reliable AI tools that engineers trust and adopt at scale.
Key Responsibilities
Architect, implement, and own AI‑powered verification tools used by graphics engineering teams
Build Python‑based AI systems leveraging
Large Language Models (LLMs)
Generative and agentic workflows
agents using tools, and orchestration frameworks
Model Context Protocol (MCP) for structured model‑to‑tool and model‑to‑data integrations
Apply AI to verification use cases such as specification understanding, test and plan assistance, regression triage, debug analysis, and coverage insights
Integrate AI tooling into existing verification infrastructure and workflows
Design evaluation and reliability mechanisms to ensure correctness, traceability, and safe operation of AI systems
Collaborate across design, verification, modeling, compiler/driver, and infrastructure teams
Minimum Qualifications
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
Qualifications
BS/MS in Computer Science, Engineering, or equivalent practical experience
6+ years experience building production software systems
Strong proficiency in Python, with experience delivering tools used by other engineers
Hands‑on experience building LLM‑based or generative AI systems (agents, tool use, orchestration)
Strong software engineering fundamentals (APIs, testing, version control, maintainability)
Experience with Model Context Protocol (MCP) or similar model‑to‑tool integration patterns
Experience designing agentic or multi‑step reasoning systems
Experience building evaluation frameworks for AI system quality and reliability
Background or exposure to hardware design verification, EDA, or complex engineering workflows
Experience developing internal platforms, infrastructure, or developer productivity tools
Comfort working in Linux‑based development environments
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).
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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.
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Pay range and Other Compensation & Benefits
$133,600.00 - $232,600.00
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.
