Full-stack Software Engineer – Verification Data Platform

Reposted 13 Hours Ago
2 Locations
In-Office
184K-288K
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and maintain scalable web applications and services for test automation and chip verification. Collaborate with teams to understand requirements and design user-friendly interfaces.
Summary Generated by Built In

We are now looking for a Full-stack web applications software architect to join our Hardware Infrastructure team! Our team is building new infrastructure to deliver highly available services to run scalable web services, development environments, repositories, databases, data streams, and data visualization frameworks. This software development team is a multifaceted Agile software team with high production quality standards, producing tools used by engineering across the company for tracking, triaging and debugging various kinds of data processing flows. We are looking for motivated engineers to build and maintain a new generation of infrastructure that will host these services.

What you’ll be doing:

  • Participate in the full life-cycle of tool development, test, and deployment of web applications and services for test automation and chip verification.

  • Work closely with other team members and internal customers to understand their processes, requirements, and needs.

  • Design interfaces that are efficient and easy to use for hundreds of engineers throughout the world.

  • Build microservices that are reliable, scalable, and maintainable.

What we need to see:

  • 8+ Years of delivering reliable and scalable services and applications. Bachelors degree CS or a related field (or equivalent experience).

  • Proven knowledge of Java and Python.

  • Background with Javascript/TypeScript and Node.js

  • Experience with design and development of distributed microservices, and detailed knowledge of object oriented design, data structures and algorithms.

  • Excellent planning, presentation, and general communication skills.

  • In depth understanding of locking, multi-threading and database concepts.

  • Experience with Elastic Search, Kafka, SQL, and at least one non-relational database

  • Familiarity with Linux ecosystems (including development and debugging tools)

  • Knowledge automated testing infrastructure

  • Excellent interpersonal skills

Ways to stand out from the crowd:

  • Some experience with or understanding of the chip design process and/or EDA verification workflows

  • Knowledge of JavaScript frameworks like Ember.js, Vue.js

  • Flexibility/adaptability for working in a vibrant environment with different frameworks and requirements.

  • HPC cluster or other distributed computing experience.

  • Familiarity with perl or C++ and with AI frameworks for development productivity

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 2, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Elastic Search
Java
JavaScript
Kafka
Linux
Microservices
Node.js
Non-Relational Databases
Python
SQL
Typescript
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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