Hybrid Senior HPC Scheduler Engineer

Posted 10 hours ago

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About the role

  • HPC scheduler/resource manager engineer crafting scheduling strategies for large datacenter clusters. Driving cutting-edge innovations in AI and GPU computing with top scientific partners and technologies.

Responsibilities

  • Provide engineering solutions and prototypes to enable efficient resource management and job scheduling for large scale clusters
  • Drive next generation requirements and features for schedulers in at scale clusters
  • Ensure technical relationships with internal and external engineering teams
  • Assist system architects and machine learning/deep learning engineers in building creative solutions based on NVIDIA technology
  • Be an internal reference for scheduling and resource management concepts and methodologies among the NVIDIA technical community
  • Test, evaluate, and benchmark new technologies and products and work with vendors, partners and peers to improve functionality and optimize performance

Requirements

  • BS, MS, or PhD in Engineering, Mathematics, Physics, Computer Science, or equivalent experience
  • 12+ years of experience designing and running scheduling and resource management systems in large datacenter/AI/HPC solutions
  • Knowledge and experience with resource management / scheduling code bases: SLURM preferred, other implementations (LSF, SGE, Torque...)
  • Proven understanding of performance clusters, infrastructure and workload patterns
  • Experience using and installing Linux-based server platforms
  • C/Python/Bash/Lua programming/scripting experience
  • Experience working with engineering or academic research community supporting HPC or deep learning
  • Strong teamwork and both verbal and written communication skills.

Benefits

  • equity
  • benefits

Job title

Senior HPC Scheduler Engineer

Job type

Experience level

Senior

Salary

$224,000 - $356,500 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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