Analog Devices

Semiconductor

PrincipalAudio/DSPSystemsEngineer

$0–0k Wilmington, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Audio/DSP Systems Engineer at Analog Devices. Skills: Audio AI models, DSP/NPU optimization, Fixed-point implementation, Model quantization. Architect end-to-end deployment pipelines. Optimize audio AI models”

Industry & Context.

Semiconductor
Problems you'll solve

Root cause analysis

Eligibility Requirements

10% travel

What They're Looking For.

Must Have

PhD in Electrical Engineering, 10+ years audio/speech signal processing, Hands-on DSP/NPU deployment experience, Fixed-point algorithm implementation expertise, Model quantization (PTQ/QAT) expertise, Cycle-level optimization expertise, Simulation-to-RTL flows knowledge, Bit-exact modeling knowledge, RTL co-simulation knowledge, Functional verification collaboration knowledge, Proficiency in C (embedded/firmware), Proficiency in Python, Proficiency in MATLAB, Proficiency in TensorFlow/TFLite, Proficiency in PyTorch/ONNX, Experience with low-level profiling tools, Experience with instruction set architectures, Experience with memory optimization, Solid foundation in array signal processing, Solid foundation in beamforming, Solid foundation in acoustic system design

Nice to Have

NPU/accelerator architectures experience, Accelerator programming models experience, ASIC development cycles familiarity, Always-on, sub-mW audio processing experience, US patents in audio signal processing, US patents in embedded ML, Technical leadership experience

What You'll Do.

Architect end-to-end deployment pipelines

Optimize audio AI models

Define DSP/NPU partitioning strategies

Drive DSP/NPU partitioning strategies

Balance workload allocation

Balance memory bandwidth

Own simulation-to-RTL validation flows

Develop bit-exact reference models

Collaborate with RTL teams

Close gaps between intent and behavior

Perform low-level implementation

Optimize signal processing kernels

Optimize neural network kernels

Maximize MAC array utilization

Maximize SIMD path utilization

Maximize on-chip memory utilization

Profile inference performance

Optimize inference performance

Design model compression workflows

Design quantization workflows

Maintain model compression workflows

Maintain quantization workflows

Track quality against baselines

Develop signal processing algorithms

Contribute to audio ASIC architecture

Inform hardware spec decisions

Generate IP (patents)

Represent technical depth to customers

Mentor engineers in deployment best practices

Mentor engineers in embedded optimization

Mentor engineers in hardware-aware design

How You'll Work.

Team & Collaboration

RTL teams; OEM customers

Full Job Description

**About Analog Devices** Analog Devices, Inc. (NASDAQ: [_ADI_](https://finance.yahoo.com/quote/ADI/?ltr=1)) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at [_www.analog.com_](https://www.analog.com/en.html) and on [_LinkedIn_](https://www.linkedin.com/company/analog-devices) and [_X_](https://x.com/ADI_News). # **Principal Audio/DSP Systems Engineer** **Responsibilities:** * Architect and optimize end-to-end deployment pipelines for compact audio AI models from trained model through quantization, profiling, and production deployment on DSP/NPU targets * Define and drive DSP/NPU partitioning strategies, balancing workload allocation, memory bandwidth, latency, and power across processing elements on the SoC * Own simulation-to-RTL validation flows: develop bit-exact reference models, collaborate with RTL teams on functional verification, and close gaps between algorithmic intent and hardware behavior * Perform low-level implementation and optimization of signal processing and neural network kernels for fixed-point DSP and NPU instruction sets, maximizing utilization of MAC arrays, SIMD paths, and on-chip memory hierarchies * Profile and optimize inference performance (cycles, memory footprint, power) under strict always-on and real-time constraints typical of hearable/wearable devices * Design and maintain model compression and quantization workflows (PTQ, QAT) with rigorous quality tracking against floating-point baselines * Develop signal processing algorithms for array processing, beamforming, and spatial filtering, with a cl

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