Work
Silicon debug, DFX, scan/JTAG, pre-silicon verification, and debug platforms for AI/HPC systems.
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Aditya Morey · NVIDIA · AI Hardware DFX
Silicon observabilityfor the AI compute stack.
Debug and observability systems that turn hidden AI/HPC silicon state into repeatable root-cause workflows.
Scan paths reach what the package hides.
JTAG/IJTAG, MBIST, IO BIST: engineered access into otherwise invisible silicon state.
Capture, replay, root cause.
Deterministic debug platforms shared across teams, not one-off scripts.
Observability designed in at RTL.
Built into the silicon up front, not bolted on after the bug.
In one line
I build and study debug, verification, and observability systems for complex compute, turning low-level silicon behavior into repeatable, inspectable workflows engineers can actually use.
Aditya MoreyNVIDIA · LCI paper (SSRN) · debug-platform work
Focus areas
Cross-team debug toolingAI/HPC silicon systemsScan/JTAG state capturePre-silicon verificationPlatform observability
Affiliations & proof
Multi-$Msilicon test-cost savings~20%yield increase~15%spec-validation efficiency
Latest writing
Manifesto
Make every layer of the system inspectable.
Or call it luck.
Frontier AI silicon and frontier AI agents fail the same way: in the dark, between layers, under pressure. Observability is not a dashboard. It’s the thing that turns those failures into root-cause workflows.
§ 01
Silicon state capture.
Scan paths, JTAG/IJTAG, MBIST, IO BIST: engineered access into otherwise invisible behaviour.
§ 02
Repeatable debug platforms.
Tooling shared across teams: deterministic capture, replay, and root-cause workflows.
§ 03
Agent observability.
Tracing, escalation checkpoints, replay: the same primitives, applied to autonomous systems.
§ 01
Start here
A focused hub for AI hardware infrastructure.
New · book · first research edition
Designed to Be Debugged
Capability without engineered evidence is not deployment readiness. Why autonomous AI needs state capture, replay, and escalation before it can be trusted: silicon debug discipline, translated for agentic systems.
Publication hub
The Observability Stack
A curated technical publication surface for essays, frameworks, and labs on observability for complex compute systems.
Who I talk to
Three ways in: start where you are.
§ 02
Public artifacts
Working demos, papers, and essays that make the technical thesis inspectable.
demos / papers / essays / inspectable
Scan Chain / TAP Visualizer
Interactive visualizer for scan-chain state movement, TAP-style control flow, and state-capture intuition.
OpenFault Injection / Observability Demo
Public demo showing how observability changes fault isolation and root-cause workflow.
OpenThe Cost of Usable Intelligence
Published framework for reasoning about useful AI output under latency, reliability, safety, and quality constraints.
OpenObservability is an underbuilt safety primitive
Flagship essay on tracing, replaying, and debugging agent behavior before failures scale.
Open§ 03
Featured work
Making complex hardware observable.
Selected professional themes, described without employer-confidential details. The strongest thread is platform leverage: turning low-level silicon behavior into repeatable workflows engineers can use.
Complex AI/HPC
silicon system
silicon system
Freeze
Capture
Decode
Analyze
Root
cause
cause
repeatable debug workflow / platform observability / silicon readiness
Debug platforms for deterministic state capture
Built and maintain internal scan-debug tooling used by multiple engineering teams to support deterministic state capture and root-cause workflows.
Cross-functional silicon readiness
Work across DFX, design, verification, bring-up, and debug stakeholders to improve observability, readiness, and platform reliability for next-generation AI/HPC silicon programs.
Hardware/software debug boundary
Focus on making complex hardware systems observable, debuggable, and reliable through state capture, test access, and engineering productivity tooling.
§ 04
Current focus
Core practice and emerging research arcs.
Core practice means direct professional or published work. Emerging research arcs means active study, writing, and future work.
Core practice
Emerging research arcs
Silicon observability and debug platforms
State capture, scan access, JTAG/TDI-based workflows, MBIST context, and platform readiness.
Autonomous agent observability and red-team evals
Failure modes, telemetry, containment, auditability, and cyberphysical risk evaluation.
AI infrastructure economics
Useful output cost, latency, reliability, safety constraints, and infrastructure productivity.
Quantum-classical infrastructure
Control planes, accelerated classical co-processing, observability, and integration bottlenecks.
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