Are you passionate about AI, GPU computing, and autonomous systems? NVIDIA, a global leader in computer graphics, artificial intelligence, and accelerated computing, is hiring through its Off Campus Drive 2026 for the position of System Software Engineer, GPU – New College Graduate in Pune and Bengaluru, India. This is a rare opportunity for freshers and recent graduates to work at the forefront of agentic AI systems, LLMs, and autonomous GPU software development. If you are someone who dreams of building next-generation AI agents, contributing to GPU system software, and collaborating with some of the brightest minds in tech, this NVIDIA opportunity is made for you. Freshers can gain hands-on experience in cutting-edge AI research, deep learning frameworks, and GPU acceleration technologies.
About NVIDIA
Founded over 25 years ago, NVIDIA has established itself as a world leader in accelerated computing and AI innovation. The company is widely recognized for its GPU technology, advanced AI solutions, and contributions to digital twin systems, deep learning, and autonomous computing. NVIDIA’s work spans industries such as gaming, enterprise AI, autonomous vehicles, and healthcare, making it an exceptional place to launch a career in cutting-edge technology and software engineering. Working at NVIDIA means joining a forward-thinking, highly skilled, and inclusive team that encourages professional growth and real-world impact. This role will expose candidates to state-of-the-art AI systems, GPU programming, and next-gen software engineering practices.
Job Role Overview
As a System Software Engineer, GPU, you will work on agentic AI systems that leverage Large Language Models (LLMs), autonomous agent frameworks, and multimodal AI models. You will develop next-generation GPU software tools, collaborate across teams, and deploy production-ready AI systems. Key responsibilities include developing autonomous AI agents contributing to NVIDIA’s GPU System Software stack and tools, building AI agents using LLMs, multimodal models, and autonomous frameworks, collaborating with product, research, and engineering teams to deliver solutions at scale, creating architectures, best practices, and solution patterns for deploying agentic AI systems, and influencing NVIDIA’s AI roadmap while delivering best-in-class solutions. This role is perfect for candidates excited to bridge the gap between AI research and real-world GPU software applications.
Job Details
| Company Name | Job Role | Qualification | Batch | Experience | Salary | Job Location | Application Deadline |
|---|---|---|---|---|---|---|---|
| NVIDIA | System Software Engineer, GPU – New College Graduate | Bachelor’s or Master’s Degree | Recent Batches Eligible | Freshers / Experienced | Best in Industry | Pune & Bengaluru, India | Apply As Soon As Possible |
Eligibility Criteria
Candidates should meet the following criteria to be eligible for this opportunity: Educational Qualification: Bachelor’s or Master’s degree in Computer Science or related fields. Experience: Freshers or candidates with relevant project experience in AI, GPU software, or autonomous agents. Technical Knowledge: Programming in Python, C++, CUDA, deep learning frameworks such as PyTorch and TensorFlow, agentic AI systems including planning, collaboration, and autonomous decision-making, and hands-on experience with agent frameworks like LangChain, LangGraph, CrewAI, or OpenAI APIs. Analytical Skills: Understanding of tool-use frameworks, memory systems, database retrieval systems, and orchestration engines. Optional Advantage: Background in AI safety, control systems, evaluation frameworks, or agent alignment.
Skills Required
Technical Skills
Strong proficiency in Python, C++, CUDA, experience with PyTorch and TensorFlow, knowledge of autonomous AI agents and multi-agent systems, familiarity with agent frameworks and APIs (LangChain, LangGraph, CrewAI, OpenAI APIs), and understanding of tool-use, memory, and orchestration systems.
Soft Skills
Strong analytical and problem-solving skills, excellent communication and collaboration skills, ability to work effectively in cross-functional teams, time management and organizational abilities, and motivation to learn and innovate continuously.
Selection Process
NVIDIA follows a structured hiring process: Online Assessment: Technical evaluation of coding, algorithms, and problem-solving skills. Technical Interview: Assessment of knowledge in GPU programming, AI frameworks, and agentic AI systems. HR Interview: Evaluation of soft skills, teamwork, communication, and cultural fit.
Salary and Benefits
Salary: Best in the industry for fresh graduates. Learning Opportunities: Hands-on experience with agentic AI, LLMs, GPU acceleration, and autonomous systems. Professional Growth: Exposure to industry-leading AI projects and multi-disciplinary teams. Work Environment: Dynamic offices in Pune and Bengaluru with a supportive, innovative, and inclusive culture.
Why You Should Apply
Work at one of the most desirable employers in the tech world, gain exposure to agentic AI, autonomous systems, and GPU software engineering, build skills in LLMs, multimodal AI, and workflow orchestration, collaborate with top engineers and researchers globally, and open doors to long-term career opportunities in AI and high-performance computing.
Job Preparation Tip
Candidates should practice GPU programming, Python coding, and deep learning concepts. Familiarity with agentic AI frameworks and LLM deployment will give you a competitive edge. Work on mini-projects or open-source contributions to demonstrate practical skills.
How to Apply for the Job
| Step | Action |
|---|---|
| Step 1 | Visit the official NVIDIA careers page |
| Step 2 | Search for “System Software Engineer, GPU – New College Graduate” |
| Step 3 | Register or login with your details |
| Step 4 | Fill in the application form accurately |
| Step 5 | Upload your updated resume and certifications |
| Step 6 | Submit the application before the deadline |
Apply for this Job
| Role | Apply Link |
|---|---|
| System Software Engineer, GPU – New College Graduate | Apply for this Job |
Important Notes for Candidates
Ensure your resume highlights relevant AI/GPU projects and technical skills, applications are reviewed on a first-come, first-served basis, candidates must be available to work on-site in Pune or Bengaluru, NVIDIA is an equal opportunity employer, and only shortlisted candidates will be contacted for interviews.
Frequently Asked Questions (FAQ)
Q1: Who can apply for this NVIDIA role?
Freshers and recent graduates with a Bachelor’s or Master’s degree in Computer Science or related fields.
Q2: What are the key technical skills required?
Python, C++, CUDA, PyTorch/TensorFlow, agentic AI frameworks, and GPU programming.
Q3: What is the selection process?
Online Assessment → Technical Interview → HR Interview.
Q4: Is prior experience required?
Freshers are welcome; prior project experience or contributions to open-source AI frameworks is a plus.
Q5: Can candidates work remotely?
This role is on-site in Pune or Bengaluru.
NVIDIA’s Off Campus Drive 2026 is a unique opportunity to launch your career in autonomous AI systems, GPU programming, and agentic AI. Freshers and recent graduates should apply immediately to secure their place at one of the most innovative tech companies in the world. Stay updated with similar opportunities and be ready to take your first step into the AI and GPU computing revolution!
