Principal AI Platform Software Architect

Key Skills

Aartificial intelligence, Design, GPUs, Machine learning techniques, PyTorch, TensorFlow

Job Description

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

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Preferred Qualifications:

• 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.
• 12+ years’ experience in high performance embedded system with 3-5 years in Windows AI platform
• Bachelors/Masters in Computer Science or Electrical Engineering

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range:

$191,500.00 - $287,500.00