Principal Data Center AI SoC & System Architect
Technology, Data & Digital · Software & Web Development · Software Engineering
In short
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.
Responsibilities
- 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.
Requirements
- 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.
Desired 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
Benefits
- 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.
Skills
PythonC++CJava
#data center#AI#SoC#system architecture#generative AI#inference#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
3 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Senior
Locations
Grenoble, France
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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