Sr Engineer: Embedded AI Architecture and Systems Engineer

About the role

Sr Engineer: Embedded AI Architecture and Systems Engineer at Qualcomm. Analyze, design, and optimize Machine learning kernels on ML HW accelerator for performance, power, and area efficiency in value tier chipsets.

What you'll do

• Analyze, design, and optimize Machine learning kernels on ML HW accelerator for performance, power, and area efficiency in value tier chipsets
• Conduct architectural analysis and benchmarking of ML subsystems, identifying bottlenecks and proposing solutions for improved throughput and efficiency
• Collaborate with hardware and software teams to define and implement enhancements in ML HW microarchitecture, memory hierarchy, and dataflow
• Develop and validate performance models for AI workloads, including signal processing and ML inference, on embedded platforms
• Prototype and evaluate new architectural features for ML HW, including quantization, compression, and hardware acceleration techniques

What you need

• 2–5 yrs of experience
• Embedded C
• C++
• Python
• Machine learning
• Performance testing
• Prototyping
• B.Tech or B.E. or PhD or B.Sc or BCA or M.Tech