Staff Embedded ML/DSP Systems Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7b92et

Experteer Overview As Staff AI/ML Embedded ML/DSP Systems Engineer, you will lead the architecture and optimization of real-time audio AI systems across industrial, data center, and wearables domains. You work at the hardware-software frontier, shaping DSP/NPU deployment, and guiding model compression and fixed-point implementations. You'll collaborate with RTL and ASIC teams to ensure hardware-aware algorithm design and robust validation. The role offers mentorship, strategic impact on AI/ML architectures, and involvement in cutting-edge audio processing. This is a chance to contribute to Analog Devices' mission at the Intelligent Edge and advance Physical AI initiatives.
Retribuzione / Benefits Architect and optimize end-to-end deployment pipelines for compact audio AI models on DSP/NPU targets
Define DSP/NPU partitioning strategies balancing workload, memory, latency, and power across the SoC
Own simulation-to-RTL validation flows with bit-exact reference models and RTL co-simulation
Implement and optimize fixed-point signal processing and neural network kernels for efficient inference




Profile and optimize inference performance under always-on, real-time constraints for hearables/wearables
Design and maintain model compression/quantization workflows (PTQ, QAT) with quality tracking
Develop array processing algorithms (beamforming, spatial filtering) from prototype to fixed-point deployment
Contribute to audio ASIC system architecture decisions based on algorithmic and deployment needs
Generate IP and represent technical depth to OEM customers in automotive and hearable segments
Mentor engineers in deployment practices and hardware-aware algorithm design
Responsabilità Masters/PhD in Electrical Engineering, signal processing, or related field
6+ years in audio/speech signal processing within semiconductor environments
Hands‐on deployment experience on DSP and/or NPU platforms
Expertise in fixed‐point algorithm implementation and model quantization (PTQ/QAT)
Strong

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7b92et