Vultr
Vultr
Vultr este o companie globală de infrastructură cloud care oferă dezvoltatorilor și companiilor servicii de calcul, stocare, rețelistică și baze de date la cerere. Platforma sa include mașini virtuale, servere bare-metal, infrastructură accelerată prin GPU, baze de date gestionate, stocare de obiecte și de tip bloc, Kubernetes și aplicații de marketplace care pot fi implementate. Cu suport pentru GPU-uri AMD și NVIDIA, rețele rapide și infrastructură în peste 32 de regiuni cu centre de date, Vultr susține sarcini de lucru pentru software, inteligență artificială și calcul de înaltă performanță prin API-uri orientate către dezvoltatori și instrumente cloud scalabile.

Senior GPU Infrastructure Engineer - United States Remote

Lead the validation, performance optimization, and reliability of Vultr’s GPU infrastructure for AI training and inference. You’ll qualify new hardware, troubleshoot distributed systems, and improve cluster automation at scale.

Descriere

  • Design and scale GPU infrastructure supporting AI training and inference workloads
  • Manage end-to-end validation for GPU clusters and incoming hardware platforms
  • Lead qualification and initial deployment activities for new GPU platforms
  • Identify and address performance constraints across GPU, CPU, PCIe, and networking layers
  • Create and maintain validation frameworks, test suites, and performance reference points
  • Build and improve automation for cluster provisioning and validation workflows
  • Set performance targets and define repeatable validation methods
  • Diagnose complex distributed-system problems, including issues involving libraries such as NCCL
  • Strengthen system reliability through preventive testing and performance tuning
  • Coach engineers and expand the team’s technical capabilities
  • Coordinate cross-functional efforts to increase GPU cluster reliability and efficiency

Cerințe

  • At least five years of experience in GPU infrastructure, high-performance computing, or distributed systems
  • Advanced knowledge of Linux systems and server hardware
  • Demonstrated experience operating or supporting large-scale GPU clusters
  • Strong Python programming ability beyond basic scripting
  • Hands-on experience with Ansible or comparable automation frameworks
  • Experience establishing validation standards and performance baselines for GPU infrastructure
  • Strong debugging ability spanning hardware, operating system, and network layers
  • Working knowledge of high-speed networking concepts
  • Clear communication skills and a collaborative approach to cross-team work
  • Based in the United States
  • Legally authorized to work in the United States
  • Must indicate whether employment visa sponsorship is required

Beneficii

  • The company covers 100% of employee medical, dental, and vision insurance premiums
  • 401(k) matching at 100% of contributions up to 4%, with immediate vesting
  • Up to $2,500 annually for professional development reimbursement
  • Eleven paid holidays, accrued paid time off, and PTO rollover
  • Additional PTO after three-year and ten-year anniversaries
  • One month of paid sabbatical every five years
  • Annual anniversary bonus
  • $500 remote-office setup stipend in the first year and $400 in each subsequent year
  • Internet reimbursement of up to $75 per month
  • Gym membership reimbursement of up to $50 per month
  • Company-paid Wellable subscription

Locuri de muncă similare

Cloudera

Senior Applied AI Sales Executive

Cloudera

Lead enterprise sales of Cloudera-supported Mistral AI solutions, managing complex deals from first engagement through proof of concept, contract, and expansion. Build on Cloudera’s data platform and hybrid cloud customer relationships to grow strategic accounts.

Deschide