Note: The job is a remote job and is open to candidates in USA. NVIDIA is a technology company focused on Artificial Intelligence, High-Performance Computing, and Visualization. The Software Engineer will design, develop, and maintain reliable, secure, and high-performance GPU cluster solutions for AI researchers while reducing operational overhead and supporting machine learning infrastructure. The role also involves researching AIOps and Agentic AI, collaborating across the AI Platform organization, and participating in on-call support.
Responsibilities
- In this position, you will work with coworkers across the AI Platform organization to understand the pain points of validating, monitoring and operating GPU clusters at scale. Then you will design, develop and maintain engineering solutions to solve those pain points systematically
- You will also research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil
- You will participate in on-call support for systems, platforms built and owned by the team
Skills
- BS/MS in Computer Science, Engineering, or equivalent experience
- 2+ years in software/platform engineering, including 1 year in ML infrastructure or distributed systems
- Experience in software development lifecycle on Linux-based platforms
- Strong coding skills in languages such as Python, C++ or Rust
- Experience with Docker, Kubernetes, GitLab CI, automated deployments
- Experience with AIOps or Agentic AI and apply it successfully in production environment
- Proficiency with full-stack development: Relational Data Modeling, DB optimization, REST API Semantics, Javascript, CSS, providing API as a service
- Passion for building developer-centric platforms with great UX and strong operational reliability
- Experience running Slurm or custom scheduling frameworks in production ML environments
- Familiarity with GPU computing, Linux systems internals, and performance tuning at scale
Benefits
- Eligible for equity
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