Overview

Analog Devices stands at the forefront of semiconductor innovation, bridging the physical and digital realms to power breakthroughs at the Intelligent Edge. With over $9 billion in FY24 revenue and 24,000 employees worldwide, we're not just building chips—we're enabling the future of digitized factories, autonomous mobility, digital healthcare, climate solutions, and seamless human-world connectivity. At our Lorenz Labs within the Edge AI group, we're pioneering Physical Intelligence: foundation models and agentic systems that reason about time, signals, and embodied experiences. Imagine an Artificial Engineer—AI that simulates and designs electro-physical systems with human-like intuition, optimized for edge deployment.

The Deep Agentic Reasoning Engineer role in San Jose, California, and Rio Robles, California, invites you to shape this paradigm. You'll design multimodal reasoning models handling time-series, audio, video, and more, collaborating across AI, NLP, audio, and time-series domains. This isn't incremental work; it's frontier research aligning with Analog Devices' mission to stay Ahead of What's Possible™. With export-compliant opportunities and a commitment to diversity, we're seeking PhD-level innovators ready to publish at NeurIPS, ICML, and beyond while deploying efficient edge models.

A Day in the Life

Your morning in San Jose begins with coffee amid Silicon Valley's innovation hum, diving into stakeholder syncs to align on Edge AI priorities—perhaps refining a model for sensor-driven healthcare diagnostics. By mid-morning, you're curating multimodal datasets: annotating time-series from ADI sensors, syncing audio waveforms with video feeds. Lunch sparks ideas with Lorenz Labs colleagues, debating Chain-of-Thought extensions for physical reasoning.

Afternoon means prototyping in PyTorch: fine-tuning transformers on agentic frameworks like Langchain, distilling a massive PhysGPT precursor into edge-ready models. You evaluate with custom metrics, iterating on GRPO reinforcement learning to boost reasoning fidelity. Evenings wrap with documentation—drafting a NeurIPS submission or internal blog on multimodal CoT. With 10% travel, expect occasional conferences in Boston or global workshops, returning energized. In Rio Robles, California's quieter vibe offers focused deep work amid cutting-edge fabs, blending research with hardware proximity. This rhythm fuels breakthroughs, backed by ADI's ecosystem.

Why San Jose and Rio Robles, California

San Jose, California, pulses as Silicon Valley's heart, home to tech titans and endless talent pools. North San Jose's vibrant scene offers diverse eateries from Michelin-starred fusion to taquerias, plus easy hikes in nearby Santa Cruz Mountains. Proximity to Stanford and UC Berkeley means top AI talent and seminars galore. Housing ranges from sleek condos to family suburbs, with median homes around $1.4M reflecting premium innovation hubs. Commutes are bike-friendly, and SFO airport connects globally.

Rio Robles, California (often linked to nearby Hollister and San Jose's South Bay influence), provides a serene contrast: rolling hills, wineries, and lower costs (homes ~$800K median). It's 45 minutes from San Jose, ideal for focused research without urban frenzy, yet taps the same Valley network. Both spots boast year-round sun, cultural festivals, and ADI campuses optimized for collaboration—think state-of-the-art labs, gyms, and cafeterias. California's tech ecosystem, diverse communities, and innovation density make these locations unbeatable for AI careers.

Career Growth

At Analog Devices, growth is engineered into your path. As a Deep Agentic Reasoning Engineer, you'll ladder from individual contributor to tech lead, then principal or director in Lorenz Labs. Mentorship pairs you with NeurIPS fellows; rotations expose hardware, deployment, and business units. Publish freely—ADI supports top venues with time allocations. Internal mobility spans 24,000 roles globally, from Boston to Limerick, Ireland. Certifications in AWS SageMaker or edge optimization? Fully funded. Performance reviews twice yearly tie to bonuses, with clear promotion tracks. Many alumni lead AI startups, leveraging ADI's network. Your Artificial Engineer contributions could define Physical Intelligence for decades.

Rewards and Benefits

Beyond $230K-$316K base, expect performance bonuses scaling with impact. Full medical, dental, vision; 401k match; unlimited PTO accrual; 10+ holidays; generous sick leave. Equity grants vest over four years. Lorenz perks: AI conference budgets, hackathons, wellness stipends. Family support includes fertility aid, adoption reimbursement. In San Jose, shuttles and EV charging ease commutes. This package reflects ADI's investment in you as we conquer the edge.

Our Culture

ADI fosters inclusion where race, gender, veteran status, or orientation never limits success. Lorenz Labs thrives on curiosity: flat teams, psychological safety for wild ideas, and cross-domain jams. Weekly demos celebrate failures as learnings. Socials blend tech talks with trivia nights. Global reach means diverse perspectives—from Indian signal processing to European vision experts. We're EEO pioneers, with ERGs for every affinity. Work-life harmony: flexible hours, remote hybrids post-onboarding. Join a culture propelling Physical Intelligence.

How to Apply

Ready to engineer the future? Submit your CV, PhD abstract, and top three papers via our portal. Highlight multimodal projects and reasoning innovations. Interviews: coding on LeetCode-style AI tasks, research deep-dive, team fit chat. Export review may apply for non-US persons. Top candidates tour San Jose labs. We review weekly—apply now to shape agentic edge AI at Analog Devices.

FAQ

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