Software Engineer - AI Research Clusters
Listed on 2026-07-10
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Software Development
AI Engineer (Applied/Software), DevOps
NVIDIA is at the forefront of innovations in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention—the GPU—functions as the visual cortex of modern computing and is central to groundbreaking applications from generative AI to autonomous vehicles.
Job OverviewWe are looking for a Software Engineer to help accelerate the next era of machine learning innovation. In this role you will propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers, enabling them to focus on training and development while reducing operational disruption and overhead.
What You’ll Be Doing- Work with coworkers across the AI Platform organization to understand 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 emerging Agentic AI, leveraging it to reduce operational toil.
- Participate in on‑call support for systems, platforms built and owned by the team.
- 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 the software development lifecycle on Linux-based platforms.
- Strong coding skills in languages such as Python, C++ or Rust.
- Experience with Docker, Kubernetes, Git Lab CI, and automated deployments.
- Experience with AIOps or Agentic AI successfully applied in a production environment.
- Proficiency with full‑stack development: relational data modeling, DB optimization, REST API semantics, JavaScript, CSS, and 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.
Base salary range: 124,000
USD – 195,500
USD. Eligible for equity and benefits.
Applications for this job will be accepted until July
10,2026.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. We do not discriminate 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.
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