NVIDIA
Technology
SeniorMethodologySoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Methodology Software Engineer at NVIDIA. Skills: Python, JavaScript, Unixash scripting, Software Methodology, automating hardware testing workflows, data parsing and analysis, data visualization. Automating hardware testing workflows using Python and Perl. Using AI to improve user workflows involving data collection, querying, and analysis”
What You'll Achieve.
improve user workflows; automate data parsing and analysis; simplify sophisticated hardware tasks; enhance human intelligence
Industry & Context.
tackle global challenges; simplify sophisticated hardware tasks
What They're Looking For.
Must Have
BS, MS, or PhD in Computer Science/Engineering (or equivalent experience), 5 plus years of relevant work experience, Experience with Python, Experience with JavaScript, Experience with Unixash scripting, Familiarity with REST APIs, Familiarity with HTTP web servers, Familiarity with database systems, Background with handling large datasets, Background with parallel processing in Python
Nice to Have
Perl experience preferred, Knowledge of AI to improve user workflows involving data collection, querying, and analysis
What You'll Do.
Automating hardware testing workflows using Python and Perl
Using AI to improve user workflows involving data collection
Collaborating with various teams to automate data parsing and analysis through web applications and compute farms
Designing robust user interfaces to simplify sophisticated hardware tasks
Building data visualization interfaces for processed datasets
Optimizing parallel processing large datasets using compute farms and AI agents
Assisting with building and debugging hardware testing scripts in Python and JavaScript
How You'll Work.
Team & Collaboration
Collaborating with various teams to automate data parsing and analysis through web applications and compute farms
Full Job Description
We are now looking for a Senior Methodology Software Engineer! Join NVIDIA’s diverse team of innovators shaping the future of technology. From revolutionizing gaming and graphics with our GPU invention to pioneering AI through deep learning, we’re constantly evolving to tackle global challenges. At NVIDIA, your unique perspective can contribute to our mission of amplifying human potential. Whether you’re an experienced professional or a recent graduate, there’s a place for you in our inclusive environment. Together, let’s push the boundaries of innovation and make a lasting impact on the world. Join us in our exciting journey to transform computing and enhance human intelligence. Working in NVIDIA's Mixed Signal Design team, you will be contributing in the area of Software Methodology, designing and building software workflows to assist hardware design and debug. **What you’ll be doing:** * Automating hardware testing workflows using Python and Perl * Using AI to improve user workflows involving data collection, querying, and analysis * Collaborating with various teams to automate data parsing and analysis through web applications and compute farms * Designing robust user interfaces to simplify sophisticated hardware tasks * Building data visualization interfaces for processed datasets * Optimizing parallel processing large datasets using compute farms and AI agents * Assisting with building and debugging hardware testing scripts in Python and JavaScript **What we need to see:** * A BS, MS, or PhD in Computer Science/Engineering (or equivalent experience) and 5 plus years of relevant work experience * Experience with Python, JavaScript, and Unix/Bash scripting * Perl experience preferred * Familiarity with REST APIs, HTTP web servers, and database systems * Background with handling large datasets and parallel processing in Python * Self motivated, and able to switch between multiple projects NVIDIA is a pioneer in bringing groundbreaking technology to new markets. W
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