Senior AI System Architect - Memory & SoC Co-Design

Sandisk

Milpitas (CA)

On-site

USD 180,000 - 250,000

Full time

30 hours ago
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Job summary

Sandisk in Milpitas, California, seeks a System Architect specializing in advanced memory technology and AI inference infrastructure. You will define system-level solutions focusing on compute-memory bottlenecks, bandwidth and latency, mapping workloads to hardware while optimizing performance, power, and scalability in the context of chiplet, SoC, and software co-design.

You will lead architecture design, drive performance and power models, collaborate with hardware and software teams, and

Qualifications

  • Master’s or Ph.D. in EE/CE/CS is required.
  • 10+ years in System Architecture, SoC design, and memory system development.
  • Deep knowledge of memory technologies (DRAM, DDR, LPDDR, GDDR, NAND).
  • Strong understanding of AI accelerators, GPUs, and Neural Processing Engines.
  • Proficiency in C/C++, Python, RTL design, and system-level modeling.
  • Knowledge of interconnect technologies: PCIe, CXL, NoCs, Ethernet, RDMA.

Responsibilities

  • Architecture design and specifications at the system level co-optimized with software.
  • Performance and power optimization through modeling and trade-offs.
  • Workload analysis mapping AI/ML models to hardware requirements.
  • Hardware/software co-design ensuring memory subsystems and interconnect integration.
  • Explore advanced memory solutions (in-memory/near-memory computing) and packaging.
  • Technical leadership with design teams and clear documentation.

Skills

C/C++
Python
RTL design
system-level modeling
AI accelerators

Education

Master's or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science

Tools

PCIe
CXL
NoCs

Job description

Sandisk in Milpitas, California, seeks a System Architect specializing in advanced memory technology and AI inference infrastructure. You will define system-level solutions focusing on compute-memory bottlenecks, bandwidth and latency, mapping workloads to hardware while optimizing performance, power, and scalability in the context of chiplet, SoC, and software co-design.

You will lead architecture design, drive performance and power models, collaborate with hardware and software teams, and

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