VAST Data
VAST Data
VAST Data talabchan ish yuklamalari uchun kengaytiriladigan ma’lumotlarni saqlash va boshqarish yechimlarini taqdim etuvchi sun’iy intellekt infratuzilmasi kompaniyasidir. 2019-yilda tashkil etilgan kompaniya bulutli saqlash, flesh-xotira, universal saqlash hamda NVMe, QLC flesh va to‘liq flesh tizimlarini o‘z ichiga olgan ma’lumotlar markazi texnologiyalariga ixtisoslashgan. Uning platformasi chuqur o‘rganish va ma’lumotlar ko‘p talab qiladigan boshqa ilovalarni qo‘llab-quvvatlash hamda saqlash operatsiyalarini soddalashtirish uchun ishlab chiqilgan.

Forward Deployed Engineer at VAST Data (Hybrid - United States)

Partner with strategic customers to solve distributed systems and AI infrastructure challenges. Turn deployment insights into VAST Data product enhancements, automation, and reliable production outcomes.

Tavsif

  • Work directly within strategic, large-scale customer environments
  • Partner with customer architects, operators, and developers to understand scaling challenges
  • Resolve complex infrastructure issues and improve system throughput
  • Diagnose difficult problems and build solutions for large workloads
  • Convert real-world customer requirements into core product improvements
  • Coordinate with engineering teams on hotfixes, roadmap changes, and new builds
  • Create custom API endpoints, automation tools, and scripts
  • Incorporate feedback from internal engineering code reviews
  • Represent customer priorities in product roadmap decisions
  • Lead the technical success of strategic deployments from design through production operations

Talablar

  • Deep foundational expertise in distributed systems, high-performance file systems, storage protocols, and performance tuning
  • Strong knowledge of high-throughput networking fabrics, including InfiniBand, RoCE (RDMA over Converged Ethernet), and 100GbE or faster networks
  • Advanced understanding of Linux system architecture, memory management, and kernel mechanics
  • Proficiency in Python and C or C++, including the ability to read, debug, and safely modify complex enterprise software
  • Experience operating large-scale AI training environments or high-performance computing clusters is highly desirable
  • Experience with Docker, Kubernetes, PyTorch, and TensorFlow is highly desirable
  • At least 5 years in a highly technical engineering role such as Forward Deployed Engineer, Resident Engineer, Systems Software Engineer, or Senior Systems Engineer, including customer-facing collaboration
  • Willingness and ability to travel to or work on customer sites as needed
  • Exceptional communication abilities
  • Highly organized and self-directed, with the judgment to manage customer expectations and establish strategic boundaries
  • Curiosity and the ability to quickly learn unfamiliar technical concepts

Imtiyozlar

  • Make a direct, measurable contribution to infrastructure that supports emerging technology
  • Collaborate with a highly experienced engineering team
  • Work on advanced technologies shaping the AI industry

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