Principal Data Center AI SoC & System Architect

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I korthet

Qualcomm seeks an experienced Principal Data Center AI SoC & System Architect in Grenoble, France, to define next-generation cloud AI systems for generative AI inference. This role involves technical leadership in SoC and system architecture, modeling, performance analysis, and cross-functional collaboration to deliver market-leading solutions.

Ansvarsområden

Provide technical leadership across SoC and system architecture studies, product definition, and implementation guidance.
Translate product and workload requirements into scalable SoC and system solutions.
Develop SoC and system models and specifications, and drive feature-set requirements into technology, IP, platform, and software teams.
Quantify system-level performance, power, area, cost, capacity, memory bandwidth, network topology/bandwidth/latency, and scalability tradeoffs.
Follow designs through implementation and production, correlate observed system performance with models and targets, and identify root causes of gaps.
Drive competitive analysis across SoC, platform, system, compute, memory, data center networking, software, and deployment considerations.
Partner across architecture, design, systems, product, software, platform, and customer teams to influence roadmaps and deliver market-leading data center systems.
Identify areas for innovations and drive development of patents.
Provide team leadership and mentor technical contributors.

Krav

MS or PhD in EE, ECE, CE, CS, or a related field
10+ years of relevant experience in SoC, platform, or system architecture; AI accelerators; memory architecture; or memory technologies
Demonstrated ownership of complex architectural deliverables, with the ability to lead across teams, build alignment, and influence technical direction
Deep computer and system architecture expertise spanning processors, accelerators, memory systems, data center network fabrics, interconnects, hardware/software interfaces, platform topology, and SoC and system implementation tradeoffs
Ability to frame ambiguous problems and lead quantitative SoC, system, and competitive studies using high-level calculators, spreadsheets, analytical models, profilers, and functional or performance simulators
Experience driving development of 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 and executive communication, documentation, and interpersonal skills
Self-directed execution, mentorship of others, and rigorous attention to accuracy
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Önskade kvalifikationer

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 interconnects, 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

Förmåner

Qualcomm is an equal opportunity employer.
Qualcomm is committed to providing an accessible process.
Qualcomm is committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures.

Färdigheter

PythonC++CJava

#data center#AI#SoC#system architecture#generative AI#inference#compute#memory bandwidth#scalability

Om 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

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Företag

Qualcomm

Publicerade jobb

för 3 dagar sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Grenoble, France

Kvalifikation

Kandidatexamen, Masterexamen, Doktorand

Sökande

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