Company:Qualcomm Canada ULCJob Area:Engineering Group, Engineering Group > GPU ASICS EngineeringGeneral 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 ResponsibilitiesArchitect, implement, and own AI‑powered verification tools used by graphics engineering teamsBuild Python‑based AI systems leveraging:Large Language Models (LLMs)Generative and agentic workflowsagents using tools, and orchestration frameworksModel Context Protocol (MCP) for structured model‑to‑tool and model‑to‑data integrationsApply AI to verification use cases such as specification understanding, test and plan assistance, regression triage, debug analysis, and coverage insightsIntegrate AI tooling into existing verification infrastructure and workflowsDesign evaluation and reliability mechanisms to ensure correctness, traceability, and safe operation of AI systemsCollaborate across design, verification, modeling, compiler/driver, and infrastructure teamsMinimum 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.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.PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.QualificationsBS/MS in Computer Science, Engineering, or equivalent practical experience2+ years experience building production software systemsStrong proficiency in Python, with experience delivering tools used by other engineersHands‑on experience building LLM‑based or generative AI systems (agents, tool use, orchestration)Strong software engineering fundamentals (APIs, testing, version control, maintainability)Preferred QualificationsExperience with Model Context Protocol (MCP) or similar model‑to‑tool integration patternsExperience designing agentic or multi‑step reasoning systemsExperience building evaluation frameworks for AI system quality and reliabilityBackground or exposure to hardware design verification, EDA, or complex engineering workflowsExperience developing internal platforms, infrastructure, or developer productivity toolsComfort working in Linux‑based development environmentsApplicantsQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process,



Qualcomm is committed to providing an accessible process. You may e‑mail disability-accomodations at qualcomm.Com or call Qualcomms 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).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 & Advantages:$108,500.00 - $158,500.00The 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, 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. 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.If you would like more information about this role, please contact Qualcomm Careers.#J-18808-Ljbffr

📌 Machine Learning Gen Ai Engineer – Gpu - $108,500 - $158,500 A Year (Toronto)
🏢 Qualcomm Canada ULC
📍 Toronto