Senior Methodology Software Engineer

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $136,000–$218,500 / yr
Posted: 25 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k

This role $177k

$125k most similar roles pay here $240k

This role pays less than 51% of similar roles. Most pay $144,000–$222,000 — the shaded band above. At the midpoint, this role pays about $177k versus about $183k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Methodology Software Engineer

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As a Senior Methodology Software Engineer at NVIDIA’s Mixed Signal Design team, you will play a pivotal role in advancing hardware design and debug processes through software automation. Your daily tasks will include automating testing workflows with Python and Perl, enhancing user interfaces for complex hardware tasks, and developing data visualization tools to interpret large datasets. You’ll collaborate across teams to create web applications that parse and analyze data using compute farms and AI agents, optimizing parallel processing capabilities along the way. Ideal candidates possess a strong background in Computer Science/Engineering, with at least five years of relevant experience, proficiency in Python, JavaScript, Unix/Bash scripting, and REST APIs, as well as familiarity with handling large datasets and parallel processing techniques.

Skills

Python JavaScript Perl Unix/Bash REST APIs HTTP web servers database systems CI/CD AI compute farms data visualization web applications large datasets parallel processing

What you'll do

Automate hardware testing workflows using Python and Perl.
Use AI to enhance user workflows for data collection and analysis.
Design robust interfaces to simplify complex hardware tasks.
Build data visualization tools for processed datasets.
Optimize parallel processing of large datasets with compute farms.
Assist in building and debugging hardware testing scripts in Python.
Collaborate on automating data parsing through web applications.

What we're looking for

BS, MS, or PhD in Computer Science/Engineering with 5+ years of relevant experience.
Proficient in Python, JavaScript, Unix/Bash scripting, and Perl (preferred).
Experience with REST APIs, HTTP web servers, and database systems.
Strong background in handling large datasets and parallel processing.
Ability to design robust user interfaces for complex hardware tasks.
Self-motivated and capable of managing multiple projects simultaneously.

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