Staff SoC Architect, AI Data Center
Technology, Data & Digital · Software & Web Development · Software Engineering · Software Architecture
In short
Qualcomm is looking for a Staff SoC Architect to define and design next-generation cloud AI SoCs and systems for generative AI inference. This role involves translating requirements into specifications, executing architecture studies, and driving feature sets across various engineering teams.
Responsibilities
- Partner across architecture, design, systems, product, software, platform, and customer teams to deliver market-leading data center systems.
- Translate product and workload requirements into SoC and system specifications, and drive feature-set requirements into technology, IP, platform, and software teams.
- Execute SoC and system architecture studies, product definition, and implementation guidance, quantifying performance, power, area, cost, capacity, memory bandwidth, network topology/bandwidth/latency, and scalability tradeoffs while driving analysis methods and tools.
- Follow designs through implementation and production, correlate observed system performance with models and targets, identify root causes of gaps, and drive performance to closure.
- Execute competitive analysis across SoC, platform, system, compute, memory, data center networking, software, and deployment considerations.
- Support and mentor technical contributors and generate innovations and patents.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
- Master's degree in Electrical Engineering, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
- PhD in Electrical Engineering, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- 2+ years of experience in one or more system architecture technology areas and products (e.g., Power System, Shared Resource Management, Limits/Thermal Management, Hardware Islands).
Desired Qualifications
- MS or PhD in EE, ECE, CE, CS, or a related field.
- 7+ years of relevant experience in SoC, platform, or system architecture; AI accelerators; memory architecture; or memory technologies.
- Ability to collaborate across teams, build alignment, and contribute to technical direction.
- Computer and system architecture expertise spanning one or more of processors, accelerators, memory systems, data center network fabrics, interconnects, hardware/software interfaces, platform topology, and SoC and system implementation tradeoffs.
- Ability to execute quantitative SoC, system, and competitive studies using high-level calculators, spreadsheets, analytical models, profilers, and functional or performance simulators.
- Experience developing architecture methodologies, tools, and analysis frameworks and translating findings into actionable recommendations.
- Experience correlating modeled and measured system performance, isolating hardware and software bottlenecks, and driving cross-functional performance closure through production.
- Excellent technical communication, documentation, and interpersonal skills, including presenting to technical and business stakeholders.
- Self-directed execution, mentorship of others, and rigorous attention to accuracy.
- Understanding of generative AI and machine-learning workloads, especially Large Language Model inference and accelerator bottlenecks.
- Experience in processor, accelerator, or system architecture, including ISA design, microarchitecture, performance modeling, system topology, scale-up or scale-out networks, or hardware/software co-design.
- Knowledge of DRAM and memory-controller architecture, bandwidth, latency, and power tradeoffs, protocols such as LPDDR, HBM, DDR, or GDDR, and emerging technologies such as processing-in-memory, processing-near-memory, or 3D integration.
- Expertise in one or more data center SoC or system technologies such as RAS, ECC, security, encryption, Ethernet or InfiniBand networking, RDMA, network interface controllers, switches, congestion control, chip-to-chip or die-to-die protocols, chiplets, PHYs, power and thermals, advanced packaging, platform management, or system scalability.
- Programming ability for architecture modeling and automation; object-oriented C++ and Python preferred.
- Fluent with using AI to accelerate workflows.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Highly competitive benefits package designed to support success at work, at home, and at play.
- The company offers a competitive annual discretionary bonus program and opportunity for annual RSU grants.
Skills
C++Python
#SoC#AI#Data Center#Architecture#System#Inference#Generative AI#Compute#Memory Bandwidth#Scalability
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
1 week ago
Employment Type
Full Time
Work mode
On Site
Salary
US$155,400–233,200 / year
Experience Level
Mid-Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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