Jobs / Arm***

Principal Software Security Engineer

Arm*** · Cambridge, ENG, United Kingdom
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Cambridge, ENG, United Kingdom126,200-170,800 GBP/yearlyHybrid
Remuneration
126,200-170,800 GBP/yearly
Location
Cambridge, ENG, United Kingdom
Visa sponsorship
Sponsors visa

Job summary

Arm***'s Vulnerability Research Tooling Team is looking for a Principal Software Engineer to help build AI-enabled tooling for hardware security issue identification. You will help design, build, and evolve systems that capture hardware security expertise and turn it into reusable datasets, analysis workflows, evaluation methods, and tooling.

Qualifications

  • RTL, firmware connections, software representations, and hardware-software build assumptions.
  • As a Principal Engineer, you will be expected to create structure in an emerging area, influence technical direction, and help mature early prototypes into durable internal capabilities.

Responsibilities

  • You will help design, build, and evolve systems that capture hardware security expertise and turn it into reusable datasets, analysis workflows, evaluation methods, and tooling.
  • Working closely with hardware security experts, software security engineers, research collaborators, and platform teams, the role is responsible for turning expert review knowledge into scalable software systems.
  • You will help define how hardware security expertise is captured, structured, evaluated, and applied through AI-assisted analysis workflows.
  • Lead the design and delivery of AI-enabled tooling for hardware security issue identification across specifications, RTL, firmware interfaces, software models, and hardware-software boundaries.
  • Develop analysis workflows and services that combine AI, retrieval, static analysis, automation, and human review to produce credible security findings.
  • Partner across hardware engineering, software security, research, fuzzing, threat modelling, and platform teams to ensure the tooling is practical, technically grounded, and aligned with engineering workflows.
  • Define evaluation approaches for AI-assisted security analysis, including benchmark tasks, ground truth, confidence measures, false-positive handling, and evidence quality.
  • Contribute to the long-term roadmap for hardware security AI tooling, including prototype evolution, productionisation, platform integration, and future research directions.
  • Required

Degrees

Associate

Work schedule

On-callShift

Industry

AutomotiveEnergy

Company size

Smb

Security clearance

Confidential