Strategic AI Compute Architect

IC Resources Recruitment

Town Of Cambridge

On-site

AUD 230,000 - 345,000

Full time

14 days+
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Benefits offered by this job

Competitive salary package
Pension
Comprehensive health benefits

Job summary

IC Resources Recruitment is seeking a Lead AI Architect for a UK-based deep-tech company in Cambridge. The role defines the technical direction for an advanced modeling environment to analyze full-stack AI inference performance.

You will bridge hardware engineering, software systems and DL workloads, drive the strategic roadmap, establish validation methods and guide a team of engineers while engaging with executives and external partners.

Qualifications

  • Postgraduate degree (PhD or equivalent) in Computer Science, Computer Architecture, or related quantitative field.
  • Proven track record leading complex engineering projects from prototype to deployment.
  • Deep technical knowledge of GPU architectures and memory bandwidth constraints.
  • Familiarity with distributed inference frameworks and data-center infrastructure is desirable.

Responsibilities

  • Drive the long-term technical roadmap for an enterprise-grade performance modeling platform.
  • Bridge semiconductor hardware engineering, systems software and DL model workloads.
  • Establish validation methodologies and high-performance engineering standards.
  • Act as chief technical voice translating infrastructure concepts for executives and partners.
  • Mentor a team of systems and research engineers, fostering innovation.

Skills

GPU architectures
Memory bandwidth
Workload simulation
Distributed inference frameworks

Education

Postgraduate degree (PhD) in Computer Science/Architecture

Tools

Open-source systems software

Job description

IC Resources Recruitment is seeking a Lead AI Architect for a UK-based deep-tech company in Cambridge. The role defines the technical direction for an advanced modeling environment to analyze full-stack AI inference performance.

You will bridge hardware engineering, software systems and DL workloads, drive the strategic roadmap, establish validation methods and guide a team of engineers while engaging with executives and external partners.

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