Senior Software Engineer, AI Performance Analysis

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CAHillsboro, OR
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $236k

$100k $308k

below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $149,500–$191,700 — the blue band above. At the midpoint, this role pays about $236k versus about $171k 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 1626 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1115 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, AI Performance Analysis

Role Posting Log in to save

The Senior Software Engineer, AI Performance Analysis joins the GPU Architecture Group to automate and optimize performance analysis workflows for AI training and inference workloads. In this role, you will design and build scalable performance analysis tools, develop integrations between profiling infrastructure and AI frameworks, and identify performance bottlenecks in complex AI workloads. You will translate the needs of performance engineers into intuitive tooling and collaborate with hardware architects and software teams to ensure profiling capabilities align with real-world requirements. The position requires deep knowledge of AI workloads and frameworks, along with strong software development skills in Python and C++. You will utilize your expertise to build infrastructure used by other engineers, focusing on the technical problem of detecting and diagnosing performance issues within large-scale AI training and inference pipelines.

What does a Software Engineer earn in California?

Median $214500 from 1223 postings across 76 companies.

See salary data

Skills

Python C++ AI Frameworks Performance Analysis Profiling Infrastructure Software Development Scalable Tooling Workflows Inference Pipelines

What you'll do

Design and build performance analysis tools for AI training and inference workloads.
Develop scalable, intuitive workflows to automate performance analysis for a broad audience of engineers.
Integrate profiling infrastructure with various AI frameworks and software workflows.
Translate the specific needs of performance engineers into technical tooling solutions.
Identify performance bottlenecks in AI workloads and develop automated methods to diagnose them.
Build developer tools and platforms specifically tailored for machine learning engineers.

What we're looking for

M.S. or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience).
6+ years of relevant work experience.
Deep knowledge of AI workloads, frameworks, and performance characteristics.
Experience building tools, workflows, or infrastructure used by other engineers.
Strong software development skills in Python and C++.
Ability to translate user requirements into scalable tooling solutions.
Knowledge of AI-enabled tooling for software development and performance analysis.
Strong interpersonal skills for collaborating across multi-functional teams.

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