drjobs Ph.D. Candidate in Functional Safety for AI Accelerators - Contract Duration 3 Years (f/m/d)

Ph.D. Candidate in Functional Safety for AI Accelerators - Contract Duration 3 Years (f/m/d)

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Job Location drjobs

Munich - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

At Cadence we hire and develop leaders and innovators who want to make an impact on the world of technology.

We are looking for a highly motivated PhD candidate to join the TIRAMISU project (Training and Innovation in Reliable and Efficient Chip Design for Edge AI research will focus on the functional safety aspects of AI accelerators aligned with ISO 26262 standards and utilizing stateoftheart EDA tools. The PhD work will involve identifying safetycritical components of AI accelerators and developing advanced safety analysis methodologies.

The goal is to develop safety mechanisms and optimize safety verification techniques including simulationbased fault injection and formal verification to enhance the safety of AI hardware. These methods will be integrated into Cadences functional safety toolchain contributing to a novel methodology that improves safety verification processes and accelerates timetomarket for AI accelerators.

Required qualifications:

  • MSc (or equivalent) in Electrical Engineering Computer Engineering Computer Science or a related discipline
  • Solid understanding of digital IC design and verification methodologies
  • Proficiency in hardware description languages (e.g. Verilog VHDL) and programming
  • A background in functional safety is desirable

Requirements:

Employment Type

Full-Time

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