Job Specifications
Company
Qualcomm Canada ULC
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
2+ 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 Qualifications
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
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Pay Range And Other Compensation & Benefits
$108,500.00 - $158,500.00
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 discr