Principal Audio/DSP Systems Engineer
Core
Architect and optimize end-to-end deployment pipelines for compact audio AI models on DSP/NPU targets for hearable and wearable devices.
Role type
Principal Audio/DSP Systems Engineer
Builds
Production audio AI inference engines for always-on hearable/wearable devices
Domain
Semiconductor / Audio Signal Processing / Embedded AI
Deliverable
production ML models
Required skills
Fixed-point algorithm implementation, Model quantization (PTQ/QAT), Cycle-level optimization, Simulation-to-RTL validation, Array signal processing, Beamforming, C (embedded), Python, MATLAB, Deep learning frameworks
Preferred skills
NPU/accelerator architecture programming, ASIC development cycles, Sub-mW audio processing leadership, US patents in audio signal processing
Technologies
TensorFlow/TFLite, PyTorch/ONNX, DSP/NPU instruction sets, SoC memory hierarchies
Responsibilities
Architect deployment pipelines for audio AI models, Define DSP/NPU partitioning strategies, Own simulation-to-RTL validation flows, Optimize signal processing and neural network kernels, Profile and optimize inference performance, Design model compression workflows, Contribute to audio ASIC system architecture, Generate IP and represent technical depth to OEMs, Mentor engineers in deployment best practices
Seniority
Principal, hands-on IC with technical leadership
