Senior Software Engineer, Capacity Management

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$140,000–$224,250 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $182k
$106k most similar roles pay here $246k

This role pays more than 61% of similar roles. Most pay $149,500–$208,707 — the shaded band above. At the midpoint, this role pays about $182k versus about $179k 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 929 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 915 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, Capacity Management

As a Senior Software Engineer, Capacity Management - DGX Cloud, you will join the team responsible for managing GPU infrastructure and software platforms to support large-scale AI deployment. You will design and build distributed services, data pipelines, and APIs to manage capacity planning, allocation, reservations, and utilization across various cloud providers and regions. Your daily work involves transforming complex operational processes into automated decision-making systems while establishing monitoring and data-quality controls for capacity management. The role requires proficiency in Python, Go, or Java, along with experience in distributed systems, backend services, Kubernetes, and large-scale resource-management systems. You will solve the critical problem of balancing customer demand against constrained GPU supply by building tools that improve forecasting and scenario planning while ensuring reliable performance across geographically distributed environments for accelerated computing workloads.

What does a Software Engineer earn in California?

Median $214000 from 779 postings across 62 companies.

See salary data

What you'll do

  • Design and build distributed services and data pipelines for capacity planning, allocation, and reservations.
  • Develop a unified model of available, committed, and forecasted GPU capacity across multiple cloud providers and regions.
  • Automate manual capacity-management workflows into scalable software and automated decision-making processes.
  • Build APIs and tools to enable other systems to make capacity-aware decisions.
  • Improve forecasting and scenario planning by integrating demand signals with infrastructure supply data.
  • Establish monitoring, data-quality controls, and service-level indicators for all capacity systems.
  • Diagnose complex production issues to improve the reliability and performance of capacity-management services.
  • Lead technical design reviews and mentor other engineers while establishing engineering standards.

What we're looking for

  • BS degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
  • 5+ years of software engineering experience building production systems.
  • Strong programming experience in Python, Go, Java, or similar languages.
  • Experience designing distributed systems, backend services, APIs, and data-processing pipelines.
  • Experience with cloud infrastructure, Kubernetes, compute platforms, or large-scale resource-management systems.
  • Strong understanding of data modeling, system integration, observability, and production operations.
  • Ability to translate ambiguous business requirements into clear technical designs and communicate across cross-functional teams.
  • Experience with GPU infrastructure, AI/ML platforms, capacity planning, or optimization techniques (preferred).

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