Senior AI Platform Software Architect
4 days ago
We are seeking a highly skilled Senior AI Platform Software Architect to join our team at Qualcomm. As a key member of our Machine Learning Engineering team, you will be responsible for enabling the Windows AI platform on Snapdragon through the Snapdragon SW stack.
Your primary focus will be on developing and porting Windows drivers for AI/ML compute engines like NPU, GPU, CPU, and dedicated HW. You will also perform performance analysis and debugging of AI workloads for inefficiencies in the SW stack.
To be successful in this role, you will need a strong background in hardware engineering, software engineering, or systems engineering, with a focus on AI/ML and Windows ML. Expertise in kernel/driver development for multi-processor heterogeneous systems is highly desirable.
As a Senior AI Platform Software Architect, you will have the opportunity to work on cutting-edge AI/ML projects and collaborate with a talented team of engineers to drive innovation in the field.
Qualcomm is an equal opportunity employer and welcomes applications from qualified candidates. If you are passionate about AI/ML and want to join a dynamic team, please submit your application.
Responsibilities:- Enablement of Windows AI platform on Snapdragon through Snapdragon SW stack
- Developing/porting 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
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
- OR PhD in Computer Science, Engineering, Information Systems, or related field
- Expertise in kernel/driver development for multi-processor heterogeneous systems
- Expertise in Windows ML, Direct ML a plus
- Knowledge of AI/ML frameworks like Pytorch, Tensor flow, etc.
- Familiarity with AI/ML Acceleration libraries
- Familiarity with hardware-software co-design a plus
- Expertise in C and Embedded systems development
- 3+ years' experience in embedded system for AI
- Bachelors/Masters in Computer Science or Electrical Engineering
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