Senior AI Systems Engineer – Graphics Design Verification

Senior AI Systems Engineer

Qualcomm Technologies, Inc. is 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: $ - $