Data Center AI SoC Architect

Data Center AI SoC Architect

Qualcomm Technologies, Inc. is seeking computer architects for its growing Data Center AI Architecture team. This team is defining the next-generation cloud AI data center products for Large Language Model and Generative AI inference workloads, which require exceptional effective memory bandwidths and capacities for effective compute.

About the Role

In this role, you will innovate, analyze, and help define future generations of AI accelerators and their memory system solutions. You will engage with Data Center Business Unit Architects and Product Managers to understand product requirements, analyze accelerator and memory technologies, quantify tradeoffs, and influence technical direction with data-driven justifications. You will also work with and drive requirements to various technology and IP core teams within Qualcomm, and collaborate with SoC & IP architects, designers, systems engineers, product managers, and software teams.

Key Responsibilities

• Define next-generation cloud AI data center products for LLM and Generative AI inference workloads.
• Analyze and develop future generations of transformational inference accelerators and their memory architecture.
• Engage with business unit architects and product managers to understand product requirements.
• Analyze accelerator and memory technologies and quantify tradeoffs.
• Drive requirements to technology and IP core teams.
• Communicate and collaborate with multi-disciplinary teams.

Skills and Experience Required

• Computer architecture fundamentals (processors, memories, interconnects).
• Strong quantitative analysis tools and methods (calculators, spreadsheets, profilers, simulators).
• End-to-end competitive analysis (architecture, performance, power, area, cost).
• Knowledge of data center requirements (RAS, ECC, security, encryption).
• Background in memory systems (bandwidth, latency, power tradeoffs).
• Understanding of DRAM architecture and memory controllers (LPDDR, HBM, DDR, GDDR).
• Exposure to novel memory technologies (PIM, processing-near-memory, 3DIC).
• Exposure to interconnects, chip-to-chip and die-to-die protocols, and chiplet architectures.
• Ability to abstract problems, define solutions, and make data-driven decisions.
• Excellent communication, documentation, and interpersonal skills.
• Self-driven execution, problem ownership, focus on accuracy, and rigorous methodology.

Preferred Qualifications

• MS or PhD degree in EE/ECE/CE/CS or related field.
• 10+ years of experience in computer architecture, AI accelerators, memory architecture, or memory technologies.

Additional Qualifications

• Generative AI & Machine Learning workloads, especially Large Language Model inference.
• Processor architecture (ISA design & microarchitecture).
• Exposure to chiplets, power, thermals, PHYs, packaging.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of relevant experience. OR
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of relevant experience. OR
• PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of relevant experience.

Equal Opportunity Employer Statement

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay Range

$200,800.00 - $332,400.00

Key skills/competency

• Data Center AI SoC Architecture
• Machine Learning Engineering
• Memory Systems Design
• Reliability Availability Serviceability (RAS)
• Processing in Memory (PIM)
• 3DIC
• Chiplets
• HBM
• DDR
• Computer Architecture