Principal Engineer AI/ML - Audio Reasoning (Lorenz Labs) Careers at Analog Devices in San Jose, California
Overview: Pioneering Audio Intelligence at the Edge
Analog Devices stands at the forefront of semiconductor innovation, bridging the physical and digital worlds to power the Intelligent Edge. With Lorenz Labs, our advanced AI engineering group, we're pushing boundaries in Physical Intelligence—developing foundation models that reason about time, signals, and embodied experiences. The Principal Engineer AI/ML - Audio Reasoning role in San Jose, California, places you at the heart of this revolution, focusing on ultra-low-latency audio and speech enhancement models for next-generation active noise cancellation (ANC) hearables.
This isn't just engineering; it's creating the auditory foundation for Artificial Engineers—AI systems with human-like intuition for electro-physical systems. You'll collaborate with world-class ML, acoustics, and DSP experts to transform audio capture, hearing enhancement, and real-world device performance. Located in the heart of Silicon Valley's innovation ecosystem in San Jose, California, this hybrid role offers the perfect blend of cutting-edge research and practical deployment.
Imagine developing models that separate speech from cacophony in real-time, suppress noise in dynamic environments, and enhance hearing for millions through embedded edge devices. Your work will power hearables that don't just cancel noise but intelligently reason about audio landscapes, integrating seamlessly with multimodal transformers and language models.
A Day in the Life of a Principal Audio AI Engineer
Your morning in San Jose begins with a hybrid setup—perhaps diving into PyTorch prototypes from home before heading to Analog Devices' state-of-the-art labs. By 10 AM, you're in a cross-functional standup with acoustics engineers, discussing microphone array optimizations for your latest speech separation model. Lunch sparks ideas over cafeteria conversations about audio tokenization breakthroughs.
Afternoon brings deep focus: training generative audio models on curated datasets, applying novel augmentation techniques to simulate real-world reverberation. You iterate on quantization strategies, shrinking a 100M parameter model to run at 1ms latency on edge hardware. Collaboration intensifies as you validate with DSP teammates, measuring blind tests against human hearing benchmarks.
Evenings might involve documenting your audio-language alignment innovations or exploring multimodal transformers that fuse audio reasoning with visual context. With 10% travel, occasional trips to partner sites or conferences keep you connected to the global audio AI community. This rhythm in San Jose, California, balances frontier research with tangible product impact.
Why San Jose, California? Silicon Valley's Audio Innovation Nexus
San Jose, California, pulses as Silicon Valley's epicenter, home to unparalleled talent density in AI, semiconductors, and audio tech. Analog Devices' presence here amplifies your network—proximity to Stanford, UC Berkeley, and audio research hubs fuels collaboration. The region's venture ecosystem attracts top acousticians and ML researchers, creating natural synergies for Lorenz Labs' Physical Intelligence mission.
Beyond professional advantages, San Jose offers California's legendary lifestyle: mild Mediterranean climate, endless outdoor pursuits from Santa Cruz beaches to Sierra Nevada skiing, and a diverse culinary scene reflecting global cultures. Tech-forward amenities like high-speed infrastructure and innovation incubators make it ideal for edge AI pioneers. Housing ranges from urban lofts to suburban family homes, with excellent schools and international communities.
Rio Robles, California, provides a complementary campus with spacious labs perfect for audio measurement suites. Both locations offer hybrid flexibility, letting you optimize for collaboration and focus. San Jose's position ensures you're at the crossroads of hardware innovation and AI research, positioning Lorenz Labs to dominate audio reasoning at the edge.
Career Growth: From Principal Engineer to AI Visionary
At Analog Devices, principal roles launch trajectories toward distinguished engineering leadership and research fellowships. Lorenz Labs invests heavily in your growth—dedicated learning budgets for NeurIPS, ICASSP, and specialized audio AI courses. Mentorship from ADI Fellows and access to internal AI accelerators propel publications and patents.
Progression paths include Technical Lead, Distinguished Engineer, or research director roles spanning Edge AI. Cross-pollination opportunities across ADI's $9B portfolio expose you to mobility, healthcare, and industrial applications. With 24,000 global colleagues, international rotations build your strategic influence. San Jose's location accelerates visibility—presenting at local AI meetups and industry consortia establishes thought leadership.
Rewards: Compensation That Reflects Frontier Impact
Analog Devices rewards principal talent generously: base salaries from $230,000-$316,250, plus performance bonuses tied to innovation milestones. Equity grants align you with company success (NASDAQ: ADI), while comprehensive benefits include medical, dental, vision, 401(k) matching, unlimited PTO, and family leave. San Jose's hybrid model saves commute time, enhancing work-life integration.
Unique perks like on-site fitness centers, subsidized cafeterias, and innovation sabbaticals distinguish ADI. Professional development stipends cover conferences, courses, and patents. In California's vibrant economy, this package positions you for financial security while tackling humanity's grand challenges through Physical Intelligence.
Culture: Collaborative Innovation Meets Mission-Driven Impact
Lorenz Labs embodies ADI's "Ahead of What's Possible" ethos—curiosity-driven teams pursuing audacious goals. Flat structures foster direct collaboration between researchers and implementers. Diversity thrives: 50+ nationalities unite around shared technical passion, with ERGs supporting every background.
Weekly tech talks, hackathons, and paper clubs keep ideas flowing. Leadership emphasizes psychological safety, where bold failures accelerate learning. San Jose teams blend California optimism with engineering rigor, celebrating milestones from model breakthroughs to product shipments. This culture transforms complex audio reasoning challenges into collective triumphs.
Apply Now: Shape the Future of Audio Intelligence
Ready to pioneer audio foundation models that reason like humans? Submit your CV highlighting publications, audio ML projects, and edge deployment experience. Include GitHub links to prototypes and research papers. Our San Jose, California team reviews applications continuously—top candidates interview within two weeks.
Expect technical deep dives on speech enhancement architectures, system design for low-latency edge, and cultural fit discussions. U.S. export compliance applies; citizens/permanent residents expedited. Join Lorenz Labs and architect the auditory intelligence powering tomorrow's Artificial Engineer.
