NVIDIA Off Campus Drive 2026 | Test and Tools Development Engineer | Pune — Apply Now

NVIDIA Off Campus Drive 2026 is now open! NVIDIA is actively hiring a Test and Tools Development Engineer – New College Grad 2026 for 2026 batch graduates in Pune, Maharashtra. This is a rare opportunity for freshers to launch their careers at the intersection of AI agents and production software quality, contributing to NVIDIA’s cutting-edge Omniverse platform. The role offers a competitive salary at one of the world’s most innovative technology companies. Read on for full eligibility details and the application process.

NVIDIA Off Campus Drive 2026 – Full Job Details

About NVIDIA

NVIDIA is a global leader in accelerated computing, GPU technology, and artificial intelligence, headquartered in Santa Clara, California. Founded in 1993, NVIDIA transformed computer graphics and today powers AI workloads across data centres, autonomous vehicles, robotics, and scientific research. With over 35,000 employees worldwide and a significant research and engineering hub in Pune, India, NVIDIA consistently ranks among the world’s best workplaces and most innovative companies. Its platforms — including CUDA, NVIDIA AI Enterprise, and the Omniverse digital-twin ecosystem — are used by millions of developers globally, making it one of the most exciting places to begin a technology career.

Role Overview – Test and Tools Development Engineer

As a Test and Tools Development Engineer at NVIDIA Pune, you will build the agentic infrastructure that powers test automation and quality workflows for the NVIDIA Omniverse platform. This is a hands-on, high-impact role where new graduates work alongside senior engineers to develop multi-agent pipelines, evaluation frameworks, and monitoring tools that help engineering teams ship confidently and at speed. If you have a passion for Python, AI-native development, and building systems that other engineers depend on, this role offers an unmatched launchpad at the frontier of AI engineering.

Key Responsibilities

• Multi-Agent Pipeline Development: Design and build multi-agent pipelines for automated test generation, log analysis, failure triage, and bug-filing workflows, collaborating closely with senior engineers on clearly scoped system components.
• Evaluation System Contribution: Write test cases, analyse failure patterns, and extend evaluation frameworks that measure agent output quality, ensuring robust and reliable AI-driven workflows.
• Instrumentation and Monitoring: Add logging, instrumentation, and alerting to agentic workflows so failures become visible and debuggable, developing the systems-thinking mindset essential for infrastructure work.
• AI-Native Tooling: Apply AI-native development tools such as Claude Code, Cursor, Codex, or similar LLM-assisted workflows in day-to-day engineering tasks, learning where large language models excel and where human judgment is required.
• Code Quality and Testing: Write clean, well-structured, and testable Python code for automation scripts, test harnesses, and tooling utilities that the broader team depends on for reliable builds and releases.
• Root Cause Analysis: Analyse test failures, trace logs, and identify root causes without waiting for manual intervention, progressively automating away recurring classes of failures.
• Documentation and Knowledge Sharing: Document agentic workflows, debugging procedures, and engineering decisions clearly so that knowledge is shared across the team and onboarding for future engineers is smooth.

Eligibility Criteria

• Educational Qualification: Bachelor’s Degree (B.Tech/B.E) in Computer Science, Information Technology, or a closely related discipline
• Batch Year: 2026 graduating batch (recently completed or pursuing final semester)
• Academic Performance: Strong academic record preferred; no minimum CGPA officially stated
• Technical Skills: Strong Python fundamentals with the ability to write clean, testable code; hands-on exposure to AI-native development workflows through coursework, internships, hackathons, or personal projects
• Communication Skills: Clear written and verbal communication ability to collaborate with global engineering teams

Selection Process

The NVIDIA Off Campus Drive 2026 follows a structured selection process designed to assess both technical depth and problem-solving ability:

• Round 1 – Online Technical Assessment: Coding challenges and Python-based problem solving, along with questions on software testing fundamentals and system design basics.
• Round 2 – Technical Interview: Deep dive into Python proficiency, test automation concepts, AI/LLM tooling experience, and a walkthrough of a past project or contribution demonstrating engineering judgement.
• Round 3 – Hiring Manager & HR Round: Discussion of team fit, career goals, and compensation; final verification of eligibility and documentation.

Salary & Benefits

NVIDIA has not disclosed the exact salary for this role, but compensation for new college graduates at NVIDIA India is highly competitive and among the best in the technology industry. In addition to salary, NVIDIA offers comprehensive health insurance for employees and dependents, an employee stock purchase programme, generous learning and development budgets, mentorship from world-class engineers, flexible work policies, and access to NVIDIA’s industry-leading hardware and research resources.

How to Apply for NVIDIA Off Campus Drive 2026

1. Click the “Apply Now” button below.
2. You will be redirected to NVIDIA’s official Workday careers portal.
3. Create an account or log in if you already have one.
4. Fill in the application form with your academic details, skills, and project experience.
5. Upload your updated resume in PDF format, highlighting Python skills and any AI/LLM project work.
6. Submit the application and save your application reference number.

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official company careers page before applying.

Frequently Asked Questions – NVIDIA Off Campus Drive 2026

Q1. Who is eligible to apply for NVIDIA Off Campus Drive 2026?

Candidates who have recently completed or are completing a Bachelor’s Degree (B.Tech/B.E) in Computer Science or an equivalent technical discipline in the 2026 batch are eligible. Strong Python programming skills and hands-on exposure to AI-native development tools such as Claude Code, Cursor, or Codex through coursework, internships, or projects are required.

Q2. What is the salary offered in NVIDIA Off Campus Drive 2026?

NVIDIA has not publicly disclosed the exact salary for this role. However, compensation for new college graduates at NVIDIA India is widely regarded as highly competitive and among the best in the IT industry, including base salary, performance bonuses, and an employee stock purchase programme.

Q3. What is the job location for this role?

The position is based in Pune, Maharashtra, India. NVIDIA has a significant engineering and research presence in Pune, and this is an on-site, full-time role at NVIDIA’s Pune office.

Q4. What is the selection process for NVIDIA Off Campus Drive 2026?

The selection process consists of three rounds: an online technical assessment covering Python coding and software testing fundamentals; a technical interview focusing on Python proficiency, test automation, and AI tooling experience; and a final hiring manager and HR round covering team fit, career goals, and documentation verification.

Q5. What is the last date to apply for NVIDIA Off Campus Drive 2026?

The exact last date has not been announced. We recommend applying as soon as possible since positions at NVIDIA fill up very quickly. Click the Apply Now button above to check the current application status on the official NVIDIA Workday careers portal.

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