Staff Embedded Ml/dsp Systems Engineer (audio Engineering)

Analog Devices Foundation

Not specified; not specified; competitive compensa...
Not specified
Fixed-point algorithm implementation
Dsp and npu platform deployment
Model quantization ptq qat
Analog Devices is seeking a Staff Embedded ML/DSP Systems Engineer specializing in audio engineering to develop advanced AI/ML systems for various applications. The candidate will lead technical strategies, mentor teams, and optimize deployment pipelines, particularly in the context of audio processing. This position offers an opportunity to work on cutting-edge projects in a collaborative and innovative environment

Job Summary

  • Lead the development of cutting-edge AI/ML systems that power real-time applications across industries like industrial automation and data centers.
  • Own simulation-to-RTL validation flows by developing bit-exact reference models and collaborating with RTL teams on functional verification.
  • Mentor engineers in deployment best practices, embedded optimization, and hardware-aware algorithm design while contributing to audio ASIC system architecture.

Matching Summary

Match Score: 85

Analog Devices is seeking a Staff Embedded ML/DSP Systems Engineer specializing in audio engineering to develop advanced AI/ML systems for various applications. The candidate will lead technical strategies, mentor teams, and optimize deployment pipelines, particularly in the context of audio processing. This position offers an opportunity to work on cutting-edge projects in a collaborative and innovative environment.

Salary

Not specified; Not specified; Competitive compensation and benefits

Skills & Requirements

Must-have

  • Fixed-point algorithm implementation
  • DSP and NPU platform deployment
  • Model quantization PTQ QAT
  • C Python MATLAB proficiency
  • Simulation to RTL validation flows
  • Audio signal processing algorithms

Nice-to-have

  • NPU accelerator architecture experience
  • ASIC development cycle background
  • Always-on sub-mW audio processing
  • Patent generation in audio ML
  • Team leadership experience
  • Array signal processing expertise

Key Requirements

  • Masters or PhD in Electrical Engineering
  • 6+ years in audio/speech signal processing
  • Hands-on deployment experience on DSP/NPU platforms
  • Proficiency in C embedded firmware level
  • Experience with TensorFlow TFLite PyTorch ONNX

Work Rights

US Citizens, US Permanent Residents, or protected individuals required; others need export licensing review

Tailored Resume

Cover Letter