Posted at: 30 April

Test and Tools Development Engineer – New College Grad 2026

Company

CompanyNVIDIA

NVIDIA Corporation is a Santa Clara-based technology company specializing in designing GPUs and AI solutions for gaming, professional visualization, and cloud services, operating in both B2B and B2C markets globally.

Remote Hiring Policy:

NVIDIA supports flexible remote work arrangements and hires from various regions globally, including the Americas, Europe, Asia, and the Middle East, with roles that may require collaboration across time zones.

Job Type

Full-time

Allowed Applicant Locations

India

Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What does it look like to build infrastructure that thinks? It triages failures, files bugs, and finds root causes without waiting for humans. As a new graduate, you'll help build the agentic infrastructure powering test automation and quality workflows for the NVIDIA Omniverse platform. This is a rare chance to initiate your career at the intersection of AI agents and production software quality. You will learn to build tests and tools other engineers depend on to ship quickly and confidently. What you'll be doing:Build multi-agent pipelines for automated test generation, log analysis, failure triage, and bug-filing workflows, working alongside senior engineers on well-scoped pieces of the systemContribute to evaluation systems that measure agent output quality — writing test cases, analyzing failure patterns, and extending eval frameworks under senior mentorshipAdd instrumentation, logging, and monitoring to agentic workflows so failures are visible and debuggable — learning the systems-thinking that makes infrastructure trustworthyGrow your judgment on where LLMs help and where they fail. Learn how to build solutions around both with mentorship.What we need to see:Pursuing or recently completed a Bachelor's Degree in Computer Science or equivalentStrong Python fundamentals — able to write clean, testable code and reason about structure beyond single scriptsHands-on exposure to AI-native development workflows — Claude Code, Cursor, Codex, or prompt engineering through coursework, internships, hackathons, or personal projectsAt least one project, open-source contribution, or coursework example where you coordinated an LLM into a working system end-to-endFoundational understanding of software testing, CI/CD concepts, or quality engineering principlesAwareness of common LLM failure modes — hallucination, context limits, tool misuse — and curiosity about how to mitigate themWays to stand out from the crowd:Built a side project, hackathon entry, or open-source contribution involving multi-agent systems, MCP servers, or custom LLM tool integrations that you can walk through end-to-endExperimented with evaluating LLM outputs — even a small eval harness or scoring script for a personal project demonstrates the right instinctYou have shipped something others actually used. It could be a tool, script, or bot adopted by a club, lab, or open-source community. You also provided documentation that let people use it without youYou show intellectual integrity about where your projects break and have built in recovery paths rather than hiding failuresWe are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodation for individuals with disabilities to participate in the application or interview process. Accommodations are also available to help perform essential job functions and receive other employment benefits. Please contact us to request accommodation. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/