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About the company
NVIDIA, founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, is a leading American multinational technology. Initially focused on graphics processing units (GPUs) for gaming, Nvidia has evolved into a dominant force in artificial intelligence (AI) and high-performance computing.
For more info: 🔗 Visit Official NVIDIA Website
Do check below for Exciting Internships, Fresher & Experienced Roles at NVIDIA
💼 Test and Tools Development Engineer – Pune ((NEW))
NVIDIA is hiring an Test and Tools Development Engineer for the Pune location. Please read the complete information carefully and apply if you are eligible.
Eligibility Criteria :
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Qualification: Bachelor’s degree in Computer Science or equivalent -
Experience: Students/ Freshers -
Skills: Python
Responsibilities:
- 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 system
- Contribute to evaluation systems that measure agent output quality — writing test cases, analyzing failure patterns, and extending eval frameworks under senior mentorship
- Add instrumentation, logging, and monitoring to agentic workflows so failures are visible and debuggable — learning the systems-thinking that makes infrastructure trustworthy
- Grow your judgment on where LLMs help and where they fail. Learn how to build solutions around both with mentorship.
Requirements:
- Pursuing or recently completed a Bachelor’s Degree in Computer Science or equivalent
- Strong Python fundamentals — able to write clean, testable code and reason about structure beyond single scripts
- Hands-on exposure to AI-native development workflows — Claude Code, Cursor, Codex, or prompt engineering through coursework, internships, hackathons, or personal projects
- At least one project, open-source contribution, or coursework example where you coordinated an LLM into a working system end-to-end
- Foundational understanding of software testing, CI/CD concepts, or quality engineering principles
- Awareness of common LLM failure modes — hallucination, context limits, tool misuse — and curiosity about how to mitigate them
Stipend: ₹2LPA—₹4LPA (Glassdoor)
⚠️ Note: If the link is expired, the opportunity is closed or disabled by the company. Check for other opportunities.
