Data Center AI SoC & System Architect
Technology, Data & Digital · Software & Web Development · Software Engineering
In short
Qualcomm seeks an experienced Data Center AI SoC & System Architect in Grenoble, France, to design next-generation cloud AI systems and accelerators for generative AI inference. The role involves defining SoC and system specifications, conducting architecture studies, and collaborating across teams to deliver market-leading solutions.
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.
- Drive feature-set requirements into technology, IP, platform, and software teams.
- Execute SoC and system architecture studies, product definition, and implementation guidance.
- Quantify performance, power, area, cost, capacity, memory bandwidth, network topology/bandwidth/latency, and scalability tradeoffs.
- Drive 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
- 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.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Skills
PythonC++HBMDDRGDDREthernetInfiniBand
#AI#SoC#System Architecture#Data Center#Generative AI#Inference#Compute#Memory Bandwidth#Scalability#Accelerators#Cloud
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
3 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Mid-Senior
Locations
Grenoble, France
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant