Overview

Analog Devices stands at the forefront of semiconductor innovation, bridging the physical and digital worlds to power breakthroughs at the Intelligent Edge. With over $9 billion in revenue and 24,000 employees worldwide, we're not just building chips—we're enabling the future of digitized factories, autonomous mobility, digital healthcare, and climate solutions. At Lorenz Labs, our advanced AI engineering group within Edge AI, we're pushing boundaries into Physical Intelligence: foundation models and agentic systems that reason about time, signals, and embodied experiences. Our vision? An Artificial Engineer capable of simulating and designing electro-physical systems with human-like intuition, optimized for edge deployment.

The Principal Engineer AI/ML - Audio Reasoning role at Analog Devices in San Jose, California, and Rio Robles, California, represents a rare opportunity to lead the development of ultra-low-latency audio and speech enhancement models for next-generation active noise cancellation (ANC) hearables. You'll join a world-class team of ML, acoustics, and DSP experts, working on audio capture, hearing enhancement, and real-world device performance that will redefine personal audio experiences. This hybrid position demands a PhD-level innovator with first-author publications in audio ML, ready to prototype, optimize, and deploy models that run efficiently on embedded hardware.

San Jose, California, the heart of Silicon Valley, offers unparalleled access to talent, research ecosystems, and venture capital that fuel AI innovation. Rio Robles, California, provides a collaborative engineering hub with proximity to cutting-edge semiconductor fabrication. Both locations immerse you in Analog Devices' culture of relentless innovation, where your work directly impacts billions of connected devices worldwide.

A Day in the Life

Imagine starting your morning in San Jose, California, diving into PyTorch code to refine a transformer-based speech separation model trained on diverse noisy environments—from crowded cafes to windy streets. By 10 AM, you're collaborating with acoustics engineers, analyzing microphone array responses and integrating your ML models with beamforming DSP algorithms. Lunch sparks cross-disciplinary discussions on audio tokenization techniques over Silicon Valley's vibrant tech scene.

Afternoon brings model optimization: quantizing your 100M-parameter audio foundation model to 4-bit precision for TinyML deployment on hearables, achieving sub-10ms latency. You run A/B tests against real-world datasets, benchmarking against traditional DSP baselines. Late afternoon involves lab sessions in Rio Robles, California—measuring impulse responses in anechoic chambers, validating dereverberation performance with human subjects. The day closes with documentation: crisp technical reports detailing ablation studies, trade-offs between model size and audio quality metrics like PESQ and STOI.

Evenings? Networking at AI audio meetups or contributing to open-source audio ML repos. This rhythm blends deep research, hands-on engineering, and real hardware impact—every day advancing the frontier of audio reasoning.

Why San Jose and Rio Robles, California

San Jose, California, epicenter of global tech innovation, hosts Stanford, UC Berkeley proximity, and endless AI talent pools. Venture-backed audio startups, AR/VR giants, and semiconductor leaders create a perfect storm for audio AI breakthroughs. Rio Robles, California, complements with Analog Devices' advanced engineering facilities, where concepts become silicon reality. Both locations offer California's year-round innovation climate, diverse communities, and access to world-class hiking in nearby Santa Cruz Mountains.

Beyond geography, Analog Devices invests heavily in these hubs: state-of-the-art labs, high-performance compute clusters for training massive audio datasets, and partnerships with leading universities. You'll thrive amid Silicon Valley's collaborative ethos, where ideas flow freely across company boundaries.

Career Growth Opportunities

As Principal Engineer, you're not just executing—you're architecting Lorenz Labs' audio reasoning roadmap. Expect mentorship from ADI Fellows, leadership of cross-functional projects, and publication opportunities at NeurIPS, ICASSP, and Interspeech. Advance to Distinguished Engineer or launch your own AI initiative within Edge AI. Analog Devices' Individual Contributor track rewards technical excellence with equity, influence, and global visibility. Continuous learning via conferences, internal academies, and tuition support ensures you stay ahead of audio ML frontiers like diffusion models and neural codecs.

Rewards and Compensation

Compensation reflects your principal-level impact: $170,775–$256,163 base, plus performance bonuses, RSUs, and comprehensive benefits. Medical, dental, vision coverage; 401(k) matching; unlimited PTO accrual; and wellness stipends support your holistic success. Hybrid flexibility balances deep work with California lifestyle—think surfing Santa Cruz post-debug.

Our Culture at Analog Devices

ADI fosters psychological safety where bold ideas thrive. Lorenz Labs embodies 'Ahead of What's Possible™'—flat teams, rapid iteration, and 'fail-fast-learn-faster' ethos. Diversity drives innovation: our teams span global backgrounds, united by passion for Physical Intelligence. Weekly tech talks, hackathons, and offsites build bonds. Integrity guides us: ethical AI development, transparent science, and real-world impact measurement.

How to Apply

Ready to pioneer audio reasoning at Analog Devices? Submit your CV highlighting audio ML publications, GitHub with model prototypes, and cover letter detailing your vision for edge audio AI. Selected candidates enjoy expedited interviews with Lorenz Labs leads. U.S. export compliance applies; join our talent community for updates. Let's build the future of intelligent audio together.

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