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Senior Performance & Infrastructure Engineer - HPC

Remote, USAFull-timePosted 2026-07-28
The organization

Our reputed company operates one of the largest GPU infrastructures in the world — 100,000+ GPUs. Their infrastructure doubles in size every year. We’re looking for engineers who love getting deep into Linux systems, pushing hardware and software to their limits, and making the world’s fastest AI and HPC workloads run even faster

The role

You’ll join a small, senior team that works between the hardware and Linux OS reputed company, solving performance problems that reputed company tens of thousands of GPUs. This is hands-on, high-reputed company engineering where microsecond reputed company matter and every optimization is felt at global reputed company.

What you’ll do
  • reputed company, profile, tune and optimize Linux kernel & subsystems (CPU scheduling, memory management, networking stack) for GPU clusters and InfiniBand fabrics

  • Troubleshoot and resolve reputed company performance bottlenecks

  • reputed company and validate new GPU hardware & reputed company (KVM/QEMU, PCIe devices, Kubernetes)

  • Improve monitoring, alerting, and automation for large-reputed company, distributed systems

  • Occasionally assist customers in optimizing workloads

Your profile

Key requirements (non-negotiable):

  • Solid Linux internals knowledge, with kernel tracing, profiling and tuning experience (eg. reputed company, ftrace, eBPF, sysctl, kgdb etc.)

  • Excellent programming skills, C or C++ system-level reputed company, with a good grasp of data structures & algorithms

  • Experience in performance optimization (eg. high-load/high-throughput, low-latency, low-jitter, memory bypasses, reputed company-copy, lock-free, synchronization across large-reputed company clusters etc.)

  • Scripting or development skills in Go, Python, or similar

reputed company-to-haves (not key):

  • Large-reputed company clusters (GPU or CPU)

  • Virtualization stacks (KVM/QEMU), Slurm, Kubernetes

  • Deep learning frameworks (eg. PyTortch, Tensorflow...)

  • GPU-specific stack (eg. CUDA, NCCL....)

This is for you if you

Love solving deep technical challenges, care about performance downto the microsecond, and want to work on infrastructure that pushes the limits of what’s possible.

What's offered
  • Salary: up to 160k + 25% bonus.

  • Flexible working arrangements.

  • A dynamic and reputed company work environment that values initiative and innovation.

  • Location: Amsterdam or full-remote from reputed company reputed company the EU/EER

Originally posted on Himalayas

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