We are seeking a senior software engineer to join our cutting-edge AI supercomputing team at NVIDIA, where you will drive the development of next-generation fleet management solutions for scaling AI infrastructure using GPUs and Grace processors. Your day-to-day responsibilities include collaborating with customers and architects to define requirements, conducting proof-of-concept validations, writing architecture specs, and ensuring thorough testing and productization. You will leverage your expertise in time series databases like InfluxDB and Prometheus, REST APIs (Redfish preferred), telemetry visualization tools such as Grafana, and C/C++ and Python programming languages to build scalable solutions. Additionally, you should have experience with server platforms, SCM tools like Git, and project management systems like Jira, along with a strong background in firmware optimization and algorithm analysis for time and space complexity. This role involves working on large-scale AI supercomputing platforms, requiring deep knowledge of system architecture and telemetry collection engines.
Skills
C/C++
Python
Prometheus
InfluxDB
Grafana
Redfish
Git
Jira
PagerDuty
REST APIs
CI/CD
ML
multi-variable optimization techniques
x86
ARM
Confidential Compute
OCP
DMTF
What you'll do
Drive fleet management solutions for scaling AI infrastructure using GPUs and Nvidia Grace.
Design architecture for health monitoring and fault-remediation at scale for AI supercomputing platforms.
Write detailed architecture specs and design documents, conducting code reviews for implementation.
Ensure product testing by enhancing unit tests and creating proper test plans with development teams.
Articulate requirements in Jira and collaborate on end-to-end execution plans with other managers.
What we're looking for
5+ years hands-on coding experience in C/C++ and Python
Strong knowledge of time series databases (InfluxDB), telemetry visualization solutions (Grafana), and REST APIs
Proven record of scalable system design and optimization for low latency APIs
Experience with firmware architecture, server platforms, and project management tools like Jira
Excellent communication skills and a strong sense of teamwork
Familiarity with Confidential Compute and experience in ML and multi-variable optimization techniques
Market check
Salary context
Above market
How this pay compares to similar roles
Similar $155k
This role $197k
$102k
most similar roles pay here
$256k
This role pays more than
87%
of similar roles. Most pay
$135,300–$175,500
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$155k
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
824 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 812 roles with salary data.