drjobs Senior Platform Engineer

Senior Platform Engineer

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1 Vacancy
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Job Location drjobs

Arlington, TX - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Were looking for an experienced GPGPU Engineer to lead the development of a cloudbased ARM and x86compatible virtual environment. This role will focus on configuring optimizing and managing an emulated infrastructure to support hardware enabling seamless development and testing in a fully virtualized environment.

Duties and Responsibilities

  • Lead the configuration optimization and management of ARMbased cloud instances (e.g. AWS Graviton) to support emulation for both ARM and x86/GPU platforms.
  • Develop multiarchitecture crosscompiled containers utilizing Docker Buildx and GCC toolchains to support GPGPU emulation and facilitate scalability.
  • Collaborate closely with software and hardware teams to ensure all drivers applications and dependencies are optimized for a hybrid ARM/x86 emulated environment.
  • Establish and manage container orchestration (e.g. K3s Kubernetes) for OCIcompliant containers focusing on efficient GPU access and seamless crossplatform compatibility.
  • Provide guidance on ARM and x86 crosscompilation practices ensuring performance security and scalability across the virtualized development lifecycle.
  • Work with network engineers to integrate SDWAN within the emulation environment meeting highbandwidth lowlatency requirements.
  • Enhance security and compliance by hardening crossarchitecture container environments specifically around GPU access and data handling.
  • Other duties as assigned.

Required Qualifications

  • 5 years of experience with ARM architecture multiarchitecture containerization and crosscompilation.
  • Strong expertise with AWS services particularly those supporting ARM and GPU (e.g. AWS Graviton G4DN bare metal instances).
  • Proficiency with crosscompilation toolchains (GCC LLVM) and in building OCIcompliant multiarchitecture containers.
  • Experience with NVIDIA GPU drivers CUDA libraries and managing GPU access in containerized setups.
  • Skilled in K3s Kubernetes or similar container orchestration solutions.
  • Familiarity with SDWAN configurations and best practices for hybrid cloud networks.
  • Advanced understanding of Linuxbased systems including lowlevel hardware interactions and device drivers.

Preferred Qualifications

  • Handson experience with ARMbased hardware emulation tools like QEMU.
  • Background in highperformance computing (HPC) and managing GPUaccelerated workloads.
  • Knowledge of security best practices in virtualized and containerized environments.
  • Previous experience with multicloud or hybrid cloud deployments.


Required Experience:

Senior IC

Employment Type

Full Time

Company Industry

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