Memory-Centric AI Systems Architect

SanDisk

Milpitas (CA)

Presencial

USD 202.000 - 344.000

Jornada completa

Hace 7 días
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Descripción de la vacante

SanDisk in Milpitas, CA, seeks a Principal AI/HPC Software Engineer to develop AI memory systems and platform technologies. The role sits at the intersection of AI infrastructure, system software, and memory-centric architectures, collaborating closely with hardware teams.

You will build and optimize AI inference and training platforms, design memory-aware runtimes, and contribute to next-generation AI memory concepts with a strong emphasis on performance and energy efficiency.

Formación

  • Experience in AI infrastructure and memory-centric software platforms.
  • Strong background in system software design and GPU/accelerator tech.
  • Proven ability to collaborate with hardware teams on co-design.
  • Knowledge of AI frameworks, runtimes, and open-source infrastructure.
  • Experience with memory systems and storage integration.

Responsabilidades

  • AI Infrastructure Software Development for ML workloads.
  • Design memory-centric software architectures and runtimes.
  • Hardware/Software Co-Design with architecture teams.
  • Develop APIs and system libraries for AI systems.
  • Benchmarking, validation tools and performance optimization.

Conocimientos

Python
C
C++ Systems
Operating systems
Device drivers
System software design
System programming
GPU architecture
CUDA programming
AI infrastructure
Computer architecture
Memory systems

Herramientas

vLLM
TensorRT-LLM
Triton
SGLang
Dynamo
Ray
Kubernetes
Docker
Slurm
CUDA
NCCL
InfiniBand

Descripción del empleo

SanDisk in Milpitas, CA, seeks a Principal AI/HPC Software Engineer to develop AI memory systems and platform technologies. The role sits at the intersection of AI infrastructure, system software, and memory-centric architectures, collaborating closely with hardware teams.

You will build and optimize AI inference and training platforms, design memory-aware runtimes, and contribute to next-generation AI memory concepts with a strong emphasis on performance and energy efficiency.

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