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Staff Embedded ML/DSP Systems Engineer – Audio Engineering
Analog Devices. Architect and optimize end-to-end deployment pipelines for compact audio AI models .
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Architect and optimize end-to-end deployment pipelines for compact audio AI models
- Define and drive DSP/NPU partitioning strategies
- Own simulation-to-RTL validation flows
- Perform low-level implementation and optimization of signal processing and neural network kernels
- Profile and optimize inference performance under strict always-on and real-time constraints
- Design and maintain model compression and quantization workflows (PTQ, QAT)
- Develop signal processing algorithms for array processing, beamforming, and spatial filtering
- Contribute to audio ASIC system architecture definition
- Generate IP (patents) and represent the team's technical depth to OEM customers
- Mentor engineers in deployment best practices
Requirements
What you’ll need- Masters/PhD in Electrical Engineering, signal processing, or related field
- 6+ years in audio/speech signal processing within a semiconductor environment
- Demonstrated expertise in fixed-point algorithm implementation, model quantization (PTQ/QAT), and cycle-level optimization for resource-constrained processors
- Strong working knowledge of simulation-to-RTL flows: bit-exact modeling, RTL co-simulation, and functional verification collaboration with design teams
- Proficiency in C (embedded/firmware level), Python, MATLAB, and deep learning frameworks (TensorFlow/TFLite, PyTorch/ONNX)
Benefits
Comp & perks- Competitive compensation and benefits
- Work-life balance
- Opportunity to work on cutting-edge projects
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
signal processingneural network kernelsmodel compressionquantizationfixed-point algorithm implementationcycle-level optimizationDSP/NPU partitioninginference performance optimizationarray processing algorithmsbeamforming
Soft Skills
mentoringtechnical communication
Certifications
Masters in Electrical EngineeringPhD in Electrical Engineering