Join NVIDIA as a senior technical leader responsible for developing next-generation AI supercomputing systems. You will lead a distributed team in early deployments of new compute and networking technologies, collaborating with external partners to plan large-scale rollouts. Your daily tasks include leading system design development, building automation platforms, creating tooling and documentation for large-scale supercomputing, and working closely with internal teams on cluster architecture and integration. Ideal candidates have an advanced degree or equivalent experience in applied science or engineering, 8+ years of industry experience including technical leadership roles, proficiency in languages like Go, Python, and Ansible, and expertise in HPC, deep learning applications, high-performance datacenter networking, and open-source monitoring technologies.
Skills
Go
Python
Ansible
Prometheus
Grafana
InfiniBand
RoCE
HPC
AI
GPU
CI/CD
Linux
Networking
Storage
Supercomputing
Machine_Learning
Deep_Learning
Kubernetes
Terraform
AWS
Azure
What you'll do
Lead the development of next generation system designs integrating new compute, networking, storage, and software systems.
Build and support platforms for software development, systems automation, and performance engineering in AI and HPC.
Develop tooling and documentation to aid large-scale supercomputing systems deployment both internally and externally.
Collaborate with internal teams on cluster architecture, bringup, and integration of new technologies and products at scale.
Work closely with partners and customers to support the deployment and validation of clusters based on NVIDIA reference architectures.
What we're looking for
BS (Masters or PhD preferred) in Applied Science or Engineering with 8+ years experience in HPC or machine learning fields.
Proven ability to lead high-performing engineering teams across distributed groups.
Proficiency in software development and system automation using Go, Python, or Ansible.
Experience leading the build of large-scale HPC compute and storage systems.
Expertise in deep learning applications with multi-GPU and multi-node workloads.
Knowledge of high-performance datacenter networking technologies like InfiniBand and RoCE.
Familiarity with open-source monitoring tools such as Prometheus and Grafana.
Market check
Salary context
This
$224,000–$356,500
range sits above
90%
of similar postings on FindRole.
Peer median band
$181,700–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$184,587–$249,490
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.