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 Skills- 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)
Preferred Skills- 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
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.
Pay range and Other Compensation & Benefits: $133,600.00 - $200,400.00
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.
