Master Thesis: AI-Driven Debug Analysis for ASIC Verification

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Datavetenskap

I korthet

This Master's thesis at Ericsson in Lund focuses on applying AI to ASIC verification debug. The student will explore and compare AI-based systems, including agentic approaches, to automate or semi-automate the analysis of simulation data, logs, and other verification artifacts to identify root causes of failures.

Ansvarsområden

  • Explore AI-based methods for analyzing ASIC verification failures and identifying likely root causes.
  • Investigate different control strategies, such as prompt-based workflows, structured analysis steps, tool invocation, iterative reasoning and specialized agents.
  • Integrate and analyze relevant verification artifacts, which may include simulation logs, waveform derived information, test results, design metadata and other debug data.
  • Define an evaluation methodology and compare the selected approaches against representative failures.
  • Assess each approach based on speed, accuracy, resource efficiency, robustness, and usefulness to verification engineers.
  • Compare the results with a suitable baseline, such as conventional manual debug or a simpler AI-based approach.
  • Document your findings, limitations and recommendations clearly.

Krav

  • Pursuing a master’s degree in electrical engineering, computer engineering, computer science or a related field.
  • Background in digital design and coding using VHDL, Verilog or SystemVerilog.
  • Interest in artificial intelligence, automated reasoning or applying AI to engineering workflows.
  • Strong analytical and problem-solving skills.
  • Ability to communicate and document technical work clearly.

Önskade kvalifikationer

  • Knowledge in Computer Science, Electrical Engineering, or a related field.

Färdigheter

VHDLVerilogSystemVerilogAIartificial intelligenceautomated reasoning
#AI#ASIC Verification#Master Thesis#Debug Analysis
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Företag

Ericsson

Publicerade jobb

för 4 dagar sedan

Anställningstyp

Praktik

Arbetsform

På plats

Erfarenhetsnivå

Junior

Platser

Lund, Sweden

Kvalifikation

Masterexamen

Sökande

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