Senior Manager, Validation and HPC

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
TXNCWACASCVAHolmdel, NJ
Salary
$216,000–$345,000 / yr
Employment
Full-time
Posted
60 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $280k
$127k $368k
below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $177,250–$229,325 — the blue band above. At the midpoint, this role pays about $280k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Manager, Validation and HPC

The Senior Manager, Validation and HPC - NVIS joins the NVIDIA Infrastructure Specialists division to supervise the deployment of cutting-edge InfiniBand and Ethernet technologies. This role involves leading a multi-layered team of HPC service professionals to design, develop, install, and validate hardware and software for Customer AI High-Performance Computing systems. Key responsibilities include orchestrating day-to-day operations, planning large-scale AI initiatives, and ensuring operational reliability through custom scripts and testing procedures. The position requires expertise in HPC systems design, storage, and cluster management tools like Slurm, salt, and xCAT. Candidates must be proficient in shared and distributed memory parallelism including OpenMP, MPI, NCCL, and HPL, alongside scripting in Bash, Perl, or Python. The work focuses on optimizing data center performance and solving complex infrastructure problems.

What you'll do

  • Supervise the design, installation, and validation of hardware and software for Customer AI High-Performance Computing systems.
  • Lead the planning, implementation, and performance monitoring of large-scale HPC projects.
  • Configure and maintain HPC AI network and server platforms to improve system service integrity.
  • Develop and deploy procedures for system validation and operational reliability testing.
  • Orchestrate the day-to-day operations and career development of a multi-layered team of HPC service professionals.
  • Act as the domain authority for customers during planning calls and system implementation.
  • Collaborate with internal units to develop strategies for service quality and continuous improvement.
  • Identify and support leading AI solutions engineering while maintaining currency with industry standards.

What we're looking for

  • Experience in IT, high-performance computing, or a related field.
  • 3+ years of experience in a management or leadership role.
  • Bachelor's degree in computer science, information systems, or a related field or equivalent experience.
  • Demonstrated expertise in HPC systems design, configuration, planning, and HPC storage.
  • Proficiency with low latency/high-bandwidth interconnect infrastructure including InfiniBand and Ethernet.
  • Expertise with HPC system software cluster management/provisioning tools such as Slurm, salt, and xCAT.
  • Proficiency with shared and distributed memory parallelism (OpenMP, MPI, NCCL, HPL) and accelerators (GPUs).
  • Strong scripting ability in Bash, Perl, or Python and experience with programming fundamentals.
  • Expertise with administration, supervising, and maintaining secure Linux/Unix operating systems (CentOS, Solaris).
  • Ability to troubleshoot network issues, handle performance, and resolve problems in large, sophisticated systems.
  • Expertise with multi-vendor hardware/software management, security, and network/Internet protocols.
  • Experience with GPU-focused hardware/software (preferred).
  • Experience with MPI (preferred).
  • Automation tooling background such as Ansible, Salt, or Puppet (preferred).
  • Experience with Ethernet and Storage technologies such as Lustre or GPFS (preferred).

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