Qualcomm · 1 day ago
Principle AI Performance Modeling Architect
San Diego, CA
Full-time
Onsite
Lead/Staff
$201K/yr - $301K/yr
8+ years expQualcomm Technologies, Inc. is a leader in mobile AI technology and is seeking a Principal AI Performance Modeling Architect to lead a team in developing performance models for AI workloads. The role involves defining and developing performance models, leading performance studies, and collaborating with customers to understand their performance requirements.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
Define and develop performance models designed to estimate performance and power usage of AI workloads
Lead a team of performance architects, providing guidance for performance studies and model enhancements
Execute models against requested workloads and configurations
Understand trends in ML network design through customer engagements and latest academic research and determine how this will affect both SW and HW design
Work with customers to understand workloads and performance requirements
Analysis of current accelerator and GPU architectures
Suggest hardware enhancements required for efficient execution of AI workloads
Pre-Silicon prediction of performance for various ML training workloads
Perform analysis of performance/area/power trade-offs for future HW and SW ML algorithms including impact of SOC components (memory and bus impacts)
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Master's degree or equivalent in Engineering, or related field
8+ years Hardware Engineering, Systems Engineering, or related work experience
3+ years experience performance modeling of AI accelerators or similar systems
Team leadership experience
In-depth knowledge of nVidia/AMD GPGPU capabilities and architectures
Knowledge of LLM architectures and their HW requirements
Preferred
Knowledge of computer architecture, digital circuits
Knowledge of modeling of communication systems
Knowledge of communication protocols used in AI systems
Understanding of Network-on-Chip (NoC) designs used in System-on-Chip (SoC) designs
Understanding of various memory technologies used in AI systems
High-level architectural-level hardware modeling experience preferred
Knowledge of AI Inference and Training systems such as NVIDIA DGX and NVL72
Strong communication skills (written and verbal)
Detail-oriented with strong problem-solving, analytical and debugging skills
Good leadership abilities with attention given to tracking tasks and ensuring timely completion of those tasks
Proficient in Excel including VBA scripting
Demonstrated ability to learn, think and adapt in a fast-changing environment
Ability to code in C++ and Python
Understanding of elemental operations performed in ML workloads
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President and Chief Executive Officer
I
Isaac Eteminan
CEO
Recent News
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