Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

We are looking for an experienced Windows platform architect to be responsible for seamless enablement of Windows AI platform on Snapdragon through Snapdragon SW stack.

You will have opportunity to align Microsoft’s Windows AI Platform initiatives with Qualcomm’s AI platform assets on Snapdragon such that AI application developers on Windows realize seamless portability from other Windows hardware to Snapdragon, while ensuring the full performance benefits of Snapdragon AI system are realized through the full AI stack on Windows.

Responsibilities

• Enablement of Windows AI platform on Snapdragon through Snapdragon SW stack

• Contributing to the architecture and design of the AI on Windows on Snapdragon platform.

• Developing Bare Metal and/or Windows drivers for AI/ML compute engines like NPU, GPU, CPU and dedicated HW.

• Performance analysis and debugging of AI workloads for inefficiencies in the SW stack

• Work with different teams to identify problems and create solutions

• Interface with Microsoft and Application Developers on Windows AI platform on Snapdragon

Skills and Experience

• Expertise in Windows kernel/driver development for multi-processor heterogeneous systems.

• Expertise in Windows ML, Direct ML, MCDM for AI compute

• Experience in architecting, designing, and implementing SW framework for complex heterogenous or multi-processor system.

• Knowledge of AI/ML frameworks like Pytorch, Tensor flow, etc.

• Knowledge of AI/ML Acceleration libraries

• Knowledge of Acceleration platforms like GPU, NPU, TPU, APU, FPGAs

• Familiarity with hardware-software co- design.

• Expertise in C and Embedded systems development of ARM SoCs.

• 10+ years’ experience in high performance embedded system with 3-5 years in Windows AI platform

• Bachelors/Masters in Computer Science or Electrical Engineering

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.