Engineering Operations Manager
Qualcomm
At a glance
AI generatedJoin NVIDIA’s dynamic team as a Senior Cloud Infrastructure Engineer, where you’ll coordinate the development of High Performance Computing (HPC) clusters and manage GPU capacity across diverse cloud platforms. Your day-to-day involves assessing technical requirements from internal and external teams, identifying performance bottlenecks, and collaborating with finance and engineering to optimize resource usage. You will develop tooling for automation and AI-driven insights, enhancing operational efficiency and supporting strategic capacity decisions. Ideal candidates have a Bachelor’s or Master’s degree in Computer Science or related fields, 8+ years of experience in cloud computing, particularly GPU management, and expertise in AWS, Azure, GCP, and OCI. Strong skills in statistical modeling, machine learning, and cloud architecture are essential, as is the ability to work effectively across departments in a fast-paced environment.
Skills
What you'll do
What we're looking for
Market check
This $136,000–$218,500 range sits above 61% of similar postings on FindRole.
Peer median band
$131,000–$199,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,487–$199,500
Middle half of comparable postings.
Based on 236 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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