Principal Software Engineer, Rack-Scale System Software

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CAAustin, TXORCA
Salary: $272,000–$431,250 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k

This role $352k

$108k $466k

below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $170,250–$226,350 — the blue band above. At the midpoint, this role pays about $352k versus about $198k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer, Rack-Scale System Software

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The Principal Software Engineer, Rack-Scale System Software — CSP Engagements joins the CSP Engagements team as a technical focal point for rack-scale system software and firmware. This role involves collaborating with cross-functional engineering teams to ensure cloud service providers can reliably deploy, monitor, and operate systems at fleet scale. Key responsibilities include driving architecture alignment for fabric management, GPU/NVSwitch error handling, health telemetry APIs, and firmware update orchestration. The engineer will synthesize customer feedback to influence architecture decisions, identify cross-CSP patterns, and improve test strategies. Required expertise includes system software, platform firmware, or large-scale distributed systems, with specific knowledge of multi-component coordination, cluster management, and error recovery patterns. Candidates should understand firmware update lifecycles, health scoring, and API design for fleet-level observability within complex accelerator systems.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

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Skills

System Software Firmware Distributed Systems Fabric Management GPU NVSwitch NVOS Cluster Management Telemetry APIs Error Handling Fault Isolation API Design Driver Lifecycle Power Management InfiniBand NVLink

What you'll do

Drive rack-scale SW/FW architecture alignment for fabric management, link health monitoring, and GPU/NVSwitch error handling.
Lead technical work streams with CSP engineering teams to ensure deep understanding of health telemetry APIs and recovery policies.
Synthesize customer feedback to influence NVIDIA’s architecture decisions regarding serviceability workflows and firmware update orchestration.
Identify cross-CSP patterns in system issues to improve documentation, tooling, and test strategies.
Execute a left-shift strategy to identify and complete customer-side SW/FW integration work before hardware availability.
Make critical technical decisions on rack-scale system software tradeoffs and mitigate execution risks through early engagement.
Ensure customer operational requirements are reflected in the development of system software and firmware.

What we're looking for

15+ years of experience in system software, platform firmware, or large-scale distributed systems engineering.
BS or MS in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
Deep understanding of rack-scale system software challenges including multi-component coordination, error propagation, and health monitoring.
Experience with fabric management software, cluster management, or system-level orchestration frameworks.
Familiarity with firmware architectures and update lifecycle management, including multi-component update sequencing and recovery.
Understanding of error handling and recovery design patterns in distributed systems, such as fault isolation and retry policies.
Experience with health monitoring and telemetry systems, including health scoring and API design for fleet-level observability.
Understanding of GPU or accelerator system software (drivers, device management, power management) is a strong plus (preferred).

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