Senior Manager, Validation and HPC - NVIS
About The Position
NVIDIA is seeking a Senior Manager to lead HPC deployment and validation within its NVIDIA Infrastructure Specialists division. The role supports large-scale AI and high-performance computing initiatives across customer environments, involving InfiniBand and Ethernet technologies and a team of AI and HPC specialists. The Senior Manager works with clients, partners, collaborators, and internal teams to assess, define, plan, and deliver AI/HPC projects. They oversee day-to-day operations and the development of a multi-layered team of HPC service professionals, ensuring timely delivery of diverse data center projects. The position operates in a fast-paced, technically sophisticated environment focused on high performance and emerging hardware and software for AI supercomputing.
Requirements
- 10 or more years of experience in IT, high-performance computing, or a related field.
- 3 or more years of management or leadership experience.
- Demonstrated expertise in HPC systems design, configuration, and planning, and solid knowledge of HPC storage.
- Proficiency with low-latency, high-bandwidth interconnect infrastructure, including InfiniBand and Ethernet.
- Expertise with HPC system software, cluster management and provisioning tools, and job schedulers, including Slurm, Salt, and xCAT.
- Proficiency with shared- and distributed-memory parallelism, including OpenMP, MPI, NCCL, and HPL, and with accelerators such as GPUs.
- Strong scripting ability in Bash, Perl, Python, or similar languages, and experience with programming fundamentals.
- Expertise administering, supervising, and maintaining secure Linux/Unix operating systems, including CentOS and Solaris.
- Ability to work with large, sophisticated systems; identify and resolve problems; handle performance issues; and troubleshoot infrastructure-related network issues.
- Expertise with multi-vendor hardware and software management, security, and network/Internet protocols.
- Bachelor's degree in computer science, information systems, or a related field, or equivalent experience.
Nice To Haves
- InfiniBand experience.
- Experience with GPU-focused hardware and software.
- Experience with MPI.
- Background with automation tools such as Ansible, Salt, or Puppet.
- Experience with Ethernet and storage technologies such as Lustre or GPFS.
Responsibilities
- Direct and supervise HPC service engineering functions for designing, developing, installing, and validating hardware and software for customer AI/HPC systems.
- Lead planning, implementation, and performance of HPC projects, improving system service bring-up and configuring and maintaining HPC AI network and server platforms.
- Lead hardware and software deployment and develop and deploy system validation procedures.
- Lead team activities and develop tests and plans for customer HPC AI system implementations, custom scripts, and testing procedures to ensure operational reliability.
- Work with internal collaborators to develop and execute strategies for service quality and continuous improvement.
- Develop team members and help them set and achieve career-growth goals.
- Build relationships with NVIDIA leaders, customers, partners, and collaborators; identify, implement, and support NVIDIA AI solutions engineering while keeping current with industry standards and innovations.
- Serve as the domain authority for customers from planning through implementation.
Benefits
- Equity.
- Benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
