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VAST Data
VAST Data
501 – 1000 Darbinieki
H1B vīzas sponsorsMākslīgais intelekts
VAST Data ir mākslīgā intelekta infrastruktūras uzņēmums, kas nodrošina mērogojamus datu glabāšanas un pārvaldības risinājumus prasīgām darba slodzēm. Uzņēmums, kas dibināts 2019. gadā, specializējas mākoņkrātuvēs, zibatmiņas krātuvēs, universālajās krātuvēs un datu centru tehnoloģijās, tostarp NVMe, QLC zibatmiņā un pilnas zibatmiņas sistēmās. Tā platforma ir izstrādāta, lai atbalstītu dziļo mācīšanos un citas datu ietilpīgas lietojumprogrammas, vienlaikus vienkāršojot krātuves pārvaldību.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisHibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuInženieris
C++DockerKubernetesLinuxPythonPyTorchSadalītās sistēmasTensorFlow

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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