Regular Lab Engineer

Luxoft

Województwo pomorskie

On-site

PLN 110,000 - 180,000

Full time

8 days ago

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Job summary

Luxoft in Gdansk is seeking a hardware validation engineer to join a team building a security platform around PMCs and on-chip ML. You will configure lab systems, develop automated test harnesses, and validate telemetry data across AMD platforms.

The role requires 3+ years in lab hardware validation, knowledge of CPU microarchitecture and performance tools, plus scripting and virtualization skills. Relocation to Gdansk is considered advantageous.

Qualifications

  • 3+ years in lab or hardware validation engineering.
  • Solid understanding of CPU microarchitecture concepts.
  • Experience with performance monitoring tools like perf or similar.
  • Proficiency in Python or similar scripting language for test automation and virtualization.

Responsibilities

  • Configure and maintain AMD lab systems and isolated VM environments.
  • Develop automated test harnesses to execute malware samples and capture CPU telemetry.
  • Instrument lab systems to collect and validate hardware performance counter data.
  • Provide labeled telemetry datasets to ML engineering teams.
  • Execute functional and performance tests for kernel-mode PMU driver across AMD platforms.
  • Document lab procedures, configurations, and asset lifecycle records.
  • Support security-software partner lab engagements.
  • Report hardware anomalies and telemetry issues with reproducible steps.

Skills

Hardware validation
CPU microarchitecture
Performance monitoring tools
Python scripting
Virtualization
Kernel internals (Windows/Linux)

Job description

Are you currently in Gdansk or ready to relocate?

Project Description

AMD is building a hardware-assisted security platform that uses silicon-level Performance Monitoring Counters (PMCs) and on-chip machine learning to detect advanced endpoint threats (ransomware, fileless malware, cryptojacking) at the processor layer, below OS-based evasion. The platform collects CPU behavioral telemetry, classifies it via an ML inference engine, and exposes threat signals to security-software partners through a standardized API. The team covers the full stack: silicon telemetry, ML training/validation, real-time inference, lab qualification and CI/CD.

Responsibilities
  • Configure and maintain physical AMD PRO lab systems and isolated VM environments used for security validation.
  • Develop automated test harnesses that safely execute malware samples and capture CPU telemetry (PMC events, instruction-based sampling traces, instruction mix).
  • Instrument lab systems to collect and validate hardware performance counter data against known threat behavioral signatures.
  • Provide labeled telemetry datasets to the ML engineering team.
  • Execute functional and performance qualification tests for the kernel-mode PMU driver across multiple AMD platform generations.
  • Document lab procedures, test specifications, hardware configurations and asset lifecycle records.
  • Support security-software partner lab engagements.
  • Report hardware anomalies, driver defects and telemetry accuracy issues with clear reproduction steps.
Mandatory Skills Description
  • 3+ years of hands-on lab or hardware validation engineering experience. Working knowledge of CPU microarchitecture: branch prediction, cache hierarchy, instruction pipelines.
  • Experience with hardware performance monitoring tools (e.g. perf, platform profilers or equivalent).
  • Proficiency in Python or similar scripting language for test automation. Experience with virtualization platforms for secure, isolated test environments.
  • Familiarity with Windows and/or Linux system internals at the kernel level.
Nice-to-Have Skills Description
  • Experience with endpoint security tools, EDR platforms or malware analysis sandboxes.
  • Familiarity with AMD profiling tools or AMD processor architecture. Exposure to kernel driver development (Windows Driver Kit or Linux kernel modules).
  • Awareness of common attack categories and threat classification frameworks.
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