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Graphcore

Principal Reliability Scientist

Graphcore · Austin, Texas, United States; Hsinchu City, Hsinchu City, Taiwan; Milpitas, California, United States; Taipei, Taipei City, Taiwan

Posted about 3 months ago

or apply directly on Graphcore's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Graphcore's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of Graphcore's roles list one
Ghost-job risk at Graphcore
high
189 stale, 5 reposted of 192 open
Hiring momentum
288 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Graphcore's own greenhouse board since 2026-08-03. Full hiring picture for Graphcore.

About this role

The Principal Reliability Engineer at Graphcore will lead reliability activities for complex, high-performance systems, collaborating with cross-functional teams to enhance product reliability and serviceability. This role involves defining reliability requirements, applying advanced methodologies, designing experiments, analyzing data, and communicating insights to influence design decisions. The engineer will also support the development of reliability models and lead investigations into reliability issues.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Graphcore as an employer.

What you need

  • Strong background in reliability engineering or reliability science within semiconductor, hardware or complex systems environments
  • Experience of physics-of-failure approaches in high-performance computing, AI hardware or related domains
  • Experience with reliability modelling, experimental design and statistical data analysis
  • Proven ability to work with and interpret experimental reliability data to drive engineering decisions
  • Experience with key reliability metrics such as MTBF, MTTR, RAS and failure rate analysis
  • Ability to operate effectively in complex, cross-functional environments with multiple stakeholders

Nice to have

  • Experience with liquid cooling systems, fluid dynamics or thermally complex hardware environments
  • Knowledge of soft error mechanisms and SER modeling
  • Experience contributing to reliability strategy, processes or tooling improvements

Worth weighing

  • No salary listed
  • Role involves complex problem-solving and cross-functional collaboration, which may require strong interpersonal skills
  • Focus on high-performance systems may imply a fast-paced work environment with high expectations

Summarised from Graphcore's posting. Read the full original.

Listed by Graphcore on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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