2 days ago
Base Salary
$108k - $196k/yr
Responsibilities
- Evaluate cloud-native, full-stack AI applications using NVIDIA frameworks, SDKs, and microservices.
- Design and implement agentic workflows using Retrieval-Augmented Generation and current AI models.
- Analyze AI solution user experiences and technical performance, report findings, and recommend product improvements.
- Collaborate with product, marketing, hardware, software engineering, and QA teams.
- Develop tutorials and code samples demonstrating NVIDIA tools and libraries.
- Write technical whitepapers and product briefs and deliver technical product demonstrations at industry conferences.
Requirements
- Bachelor’s or master’s degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- Proficiency in Python and JavaScript for programming and debugging, with foundations in data structures, algorithms, and software design.
- Basic familiarity with C++ and high-performance computing environments.
- Experience building cloud-native systems for Kubernetes deployment using vLLM and NVIDIA Triton Inference Server.
- Understanding of API design for scalable, production-ready inference systems.
- Preferred qualifications include advanced LLM and AI software architecture knowledge, cloud API expertise, public technical content or open-source contributions, and experience deploying Triton Inference Server, vLLM, or TensorRT on Kubernetes or edge devices.
Benefits
- Eligible for equity and benefits.
- Located in Silicon Valley; applications accepted at least until October 10, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.