Sr Engineer: Embedded AI Architecture and Systems Engineer
Core
Architect, analyze, and optimize DSP and embedded NPU (eNPU) performance across Snapdragon platforms to enable efficient on-device AI for audio, camera, sensors, and always-on use cases.
Role type
Senior IC embedded AI architecture and systems engineer
Builds
System models, performance/power trade studies, and architectural recommendations for mobile, XR, compute, IoT, and automotive tiers
Domain
Semiconductor / Embedded Systems / Machine Learning
Deliverable
production ML models
Required skills
DSP architecture, embedded NPU design, low-power AI systems, performance analysis, benchmarking, optimization, Embedded C/C++, Python, real-time operating systems, hardware/software co-design, fixed-point and floating-point implementation, power modeling
Technologies
Snapdragon, ARM, RISC-V
Responsibilities
Analyze, design, and optimize Machine learning kernels on ML HW accelerator for performance, power, and area efficiency; Conduct architectural analysis and benchmarking of ML subsystems; Collaborate with hardware and software teams to define and implement enhancements in ML HW microarchitecture; Develop and validate performance models for AI workloads; Prototype and evaluate new architectural features for ML HW; Support system-level integration, performance testing, and demo prototyping; Document architectural analysis, optimization strategies, and performance results
Seniority
Senior, hands-on IC
