Systems Software Engineer, AI and Cloud – New College Grad 2026
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is transforming computer graphics, PC gaming, and accelerated computing, tapping into the unlimited potential of AI to define the next era of computing. We are seeking a versatile Systems Software Engineer - AI and Cloud to join our team in Silicon Valley.
In this role, you will work on groundbreaking projects involving advanced AI models and cloud-native architectures, making significant contributions to NVIDIA's versatile products and technologies.
Key responsibilities
- Evaluate cloud-native, full-stack applications using microservices architecture to power AI use cases, bringing to bear NVIDIA frameworks, SDKs, and microservices.
- Design and implement agentic workflows with advanced techniques like Retrieval-Augmented Generation (RAG) and the latest AI models.
- Evaluate user experiences and analyze the technical performance of AI solutions, compiling findings into comprehensive reports and offering practical suggestions for product improvement to senior executives and engineering management.
- Engage with various teams across NVIDIA such as product, marketing, hardware, software engineering, and QA to improve NVIDIA's product offerings.
- Develop developer-focused content, including detailed tutorials and code samples, to demonstrate the latest features in NVIDIA's tools and libraries.
- Write technical whitepapers and product briefs, and run technical demos of our products at prominent industry conferences.
Qualifications
- A Bachelor's or Master's in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related degree (or equivalent experience).
- Proficiency in Python and JavaScript for programming and debugging, with a strong foundation in data structures, algorithms, and software design principles.
- Basic familiarity with C++ programming and its application in high-performance computing environments.
- Experience in crafting cloud-native systems optimized for Kubernetes deployment, using inference frameworks such as vLLM and NVIDIA Triton Inference Server.
- A solid understanding of API design principles for building scalable, production-ready inference systems.
Nice to have
- Advanced knowledge of LLMs, modern AI software architecture, and cloud APIs.
- Contributions to public-facing technical content and open-source projects.
- Expertise in deploying LLM inference frameworks like Triton Inference Server, vLLM, or TensorRT, including on Kubernetes or edge devices to improve performance.
Benefits
- Base salary range of 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2, determined based on location, experience, and the pay of employees in similar positions.
- Eligibility for equity and benefits.
Job details
- Location: Silicon Valley.
- Application deadline: Accepted at least until October 10, 2026.
- Posting type: Existing vacancy.
About the company
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years with a unique legacy of innovation fueled by great technology and amazing people.
Today, we are tapping into the unlimited potential of AI to define the next era of computing, where our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Additional information
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
