Software Engineer - AI Research Clusters

## Responsibilities - Propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers. - Enable researchers to focus on training and development by reducing operational disruption and overhead. - Empower researchers for self-service continuous improvement on reliability, operational excellence & performance. - Work with coworkers across the AI Platform organization to understand the pain points of validating, monitoring and operating GPU clusters at scale. - Design, develop and maintain engineering solutions to solve those pain points systematically. - Research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil. - Participate in on-call support for systems, platforms built and owned by the team. ## Requirements - 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. ## Nice to Have - 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 - Base salary range: 124,000 USD - 195,500 USD. - Eligibility for equity and benefits. - Applications accepted until July 10, 2026. - NVIDIA uses AI tools in its recruiting processes. - NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.