NVIDIA is hiring for the position of System Software Engineer in Pune; Bengaluru, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | NVIDIA |
| Position | System Software Engineer, GPU – New College Graduate |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2026 |
| Experience | Freshers |
| Location | Pune; Bengaluru, India |
Key Responsibilities:
- Develop autonomous AI agents that contribute to next-generation GPU system software stacks and associated tools.
- Design and implement AI agents leveraging LLMs, multimodal models, and autonomous agent frameworks, ensuring robust and production-ready deployments.
- Collaborate cross-functionally with product, engineering, and research teams to drive customer success and influence the organization’s agentic AI roadmap.
- Build scalable architectures, establish best practices, and define solution patterns for deploying AI agents at scale, delivering high-quality solutions to customers.
Eligibility Criteria:
- Hold a Bachelor’s or Master’s degree in Computer Science or a related field.
- Demonstrate strong programming skills in Python, C++, and CUDA, along with hands-on experience in deep learning frameworks such as PyTorch and TensorFlow.
- Possess knowledge of next-generation agentic AI systems, including autonomous, reasoning-driven agents capable of planning, collaboration, and executing complex tasks across diverse environments.
- Have hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, or OpenAI APIs.
- Exhibit a strong understanding of tool-use frameworks, databases, retrieval systems, memory architectures, and orchestration engines.
- Bring foundational knowledge or experience in AI safety, control systems, evaluation frameworks, or agent alignment.
Preferred Skills:
- Demonstrate practical experience in building or deploying agentic AI systems, LLM-based agents, workflow orchestration solutions, or multi-agent frameworks in real-world environments.
- Showcase contributions to open-source AI ecosystems, including work on agent frameworks, LLM integrations, inference optimization, or GPU-accelerated machine learning libraries.
About Company:
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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