As a Methodology/CAD Engineer in our Circuit Solutions Group, you will play a crucial role in enhancing productivity and efficiency by automating hardware testing workflows with Python and Perl. You’ll leverage AI to streamline user workflows involving data collection, querying, and analysis while collaborating across multi-functional teams to automate data parsing and analysis through web applications and compute farms. Your responsibilities include designing robust user interfaces for complex tasks and building data visualization tools for processed datasets. Additionally, you will optimize parallel processing of large datasets using compute farms and AI agents, as well as assist in debugging hardware testing scripts in Python and JavaScript. Ideal candidates have a BS, MS, or PhD in Computer Science/Engineering with 3+ years of relevant experience, proficiency in Python, JavaScript, Unix/Bash scripting, REST APIs, HTTP web servers, database systems, containerization tools like Docker, cluster management with Kubernetes, and familiarity with front-end frameworks such as React JS, Vue JS, or Angular. Experience in VLSI, ASIC, or EDA is a plus, along with strong interpersonal skills and the ability to work effectively across multiple teams.
Automate hardware testing workflows using Python and Perl.
Use AI to enhance user workflows involving data collection and analysis.
Design robust user interfaces to simplify complex hardware tasks.
Build data visualization interfaces for processed datasets.
Optimize parallel processing of large datasets using compute farms and AI agents.
Collaborate on automating data parsing and analysis through web applications.
What we're looking for
BS, MS, or PhD in Computer Science/Engineering or equivalent experience required
3+ years of relevant work experience with Python and Unix/Bash scripting
Experience with JavaScript, REST APIs, HTTP web servers, and database systems
Familiarity with containerization tools (Docker) and cluster management (Kubernetes)
Background in handling large datasets and parallel processing using AI and compute farms
Ability to collaborate effectively across multiple teams and projects
Previous work experience in VLSI, ASIC, or EDA preferred
Market check
Salary context
This
$136,000–$218,500
range sits above
69%
of similar postings on FindRole.
Peer median band
$117,000–$212,505
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$202,325
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.