Senior System Software Engineer, Performance

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
100 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $236k
$103k most similar roles pay here $307k

This role pays more than 93% of similar roles. Most pay $151,000–$201,437 — the shaded band above. At the midpoint, this role pays about $236k versus about $176k 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 1371 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Senior System Software Engineer, Performance

As a Senior System Software Engineer - Performance within the Tegra system-on-chip software organization, you will design, develop, test, and optimize software for next-generation SoCs during both pre-silicon and post-silicon phases. You will identify hardware and software policies to drive performance and performance-per-watt leadership while reviewing architectural bottlenecks for various system-wide workloads. Your role involves conducting competitive analysis of architecture and workload metrics against other silicon vendors and driving full-stack adoption of optimizations across products and open-source SDKs. Key technical requirements include expertise in ARM architecture, Linux perf tools, multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, and real-time programming. You will solve critical performance challenges for datacenter-scale products, including CPUs and CPU+GPU Superchips, while utilizing skills in data analysis and performance optimization to ensure high efficiency across the software stack.

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