This role pays less than
89%
of similar roles. Most pay
$167,224–$235,750
— the shaded band above.
At the midpoint, this role pays about
$140k
versus about
$201k
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
942 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 931 roles with salary data.
As a Senior HPC Support Engineer specializing in Compute/GPU (DGX Platform) within our Technical Support team, you will be responsible for resolving complex customer issues related to AI hardware and software products. Your day-to-day tasks include debugging and troubleshooting technical problems via various communication channels, ensuring high customer satisfaction through meticulous research and problem-solving. You will collaborate closely with engineering, marketing, and support teams to provide feedback on product requirements and improve support processes. The ideal candidate has over five years of experience in customer support and debugging, proficiency in Linux system administration across multiple distributions like Red Hat Enterprise Linux and Ubuntu, and expertise in AI tools and technologies such as Docker, Kubernetes, and deep learning frameworks. Additionally, a strong background in networking, data centers, and distributed systems is essential for this role, which operates at the intersection of cutting-edge technology and customer service excellence.
Resolve complex customer issues on DGX Platform through detailed research and problem-solving.
Debug and respond to user-reported technical problems via various communication channels.
Develop and document standard methodologies for internal teams based on customer issue analysis.
Regularly interact with engineering, marketing, and support teams to provide feedback on product requirements.
Apply AI tools efficiently to share debugging results and create knowledge base articles.
What we're looking for
5+ years of experience in customer support and debugging for hardware and software products.
Proven use of AI technologies in daily job responsibilities.
Deep understanding of Linux system administration on Red Hat Enterprise Linux and Ubuntu distributions.
Strong knowledge of at least two areas: data centers, servers, distributed systems, virtualization, deep learning frameworks, or containers/containerization.
Proficiency in shell scripting (Bash/Python) and networking technologies including InfiniBand, RDMA/RoCEv2, and GPU technology.
Experience with clustering/HPC data-center technologies, upper layer protocols like MPI, NCCL, and Ethernet/Distributed File System Storage technologies.