Principal Data Center AI SoC & System Architect - Qualcomm - Grenoble, France

QUALCOMM, Inc.; Grenoble; On-site; EUR 120,000 - 170,000; Full time

Job summary

Qualcomm France S.A.R.L. is seeking exceptional architects to define next-generation AI accelerators and data center systems. You will lead SoC and system architecture studies, translate requirements into scalable solutions, and drive performance and scalability tradeoffs across multiple teams.

The role focuses on architecture modeling, debugging performance gaps, and guiding IP and platform teams toward market-leading data center technologies.

Qualifications

• MS or PhD in EE, ECE, CE, CS or related field.
• 10+ years of experience in SoC, platform or system architecture.
• Experience with AI accelerators, memory systems and data center networking.

Responsibilities

• Provide technical leadership across SoC and system architecture studies.
• Translate product and workload requirements into scalable SoC and system solutions.
• Develop SoC and system models and specifications driving tech and IP collaboration.
• Quantify system performance, power, area, memory bandwidth, and scalability tradeoffs.
• Follow designs through implementation and production, drive performance closure.
• Partner with cross-functional teams to influence roadmaps.

Skills

SoC architecture

System architecture

AI accelerators

Memory architecture

C++

Python

Architecture modeling

Performance analysis

Education

MS/PhD in EE/ECE/CE/CS

Bachelor's degree in Engineering/CS

Tools

C++

Python

Job description

Company: Qualcomm France S.A.R.L.

Job Area: Engineering Group, Engineering Group > Software Engineering

General Summary

Qualcomm’s Data Center AI Architecture team defines next-generation cloud AI system-on-chip (SoC) and systems for generative AI inference workloads that demand exceptional compute, memory bandwidth, capacity, and system scalability.

We are seeking exceptional architects to help shape multiple generations of AI accelerators and complete data center systems, with a strong focus on SoC, memory, and system architecture and technologies.

If you are passionate about solving complex architecture challenges in a collaborative, multidisciplinary environment while contributing to building a substantial new business for one of the leading system-on-chip and computer architecture companies in the industry, we want to hear from you.

Role Description

• 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, 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
• 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

Minimum Qualifications

• 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

Additional Qualifications

• 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

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience. OR 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.
• References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

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