Senior Machine Learning Gen AI Engineer – GPU

Qualcomm • San Diego, CA

1d

About The Position

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.

Requirements

• 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.
• 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)

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level