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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
💼 Formal Verification Engineer – New College Graduate – Gurugram and Bangalore ((NEW))
NVIDIA is hiring an Formal Verification Engineer for the Gurugram and Bangalore locations. Please read the complete information carefully and apply if you are eligible.
Eligibility Criteria :
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Qualification: B.Tech./ M.Tech in Electrical Engineering / Computer Science or related fields -
Experience: Students -
Skills: Strong analytical skills
Responsibilities:
- Learning state-of-the-art formal verification methodologies
- Responsible for applying best-in-class formal methodologies on complex digital designs, IP blocks and SoCs
- Taking ownership of verifying a design by developing a robust test plan
- Executing it by working with the design team
- Coordinating with other verification team members for closure
Requirements:
- B.Tech./ M.Tech in Electrical Engineering / Computer Science or related fields
- Strong analytical skills to solve difficult problems
- Understanding of abstraction techniques for effective verification
- Hands-on experience with HDLs such as Verilog / System Verilog
- Ability to understand RTL quickly
- Understanding of temporal logic assertions
Stipend: ₹2LPA—₹4LPA (Glassdoor)
💼 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.
