Before you apply
Listed location: US, CA, Santa Clara | US, MA, Westford | US, TX, Austin | US, OR, Hillsboro | US, CO, Remote | US, NC, Durham
Work arrangement: remote. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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. We are now looking for a Senior 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, enable them to focus on training and development by reducing operational disruption and overhead, empower them for self-service continuous improvement on reliability, operational excellence & performance. Your work will empower scientists and engineers to train, fine-tune, and deploy the most advanced ML models on some of the world’s most powerful GPU systems.
What You'll Be Doing:
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.
What We Need To See:
BS/MS in Computer Science, Engineering, or equivalent experience.
5+ years in software/platform engineering, including 3+ years 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.
Ways To Stand Out From The Crowd:
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
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.Skills mentioned
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Frequently asked questions
Is the Senior Software Engineer - AI Research Clusters position at NVIDIA remote?
Yes. The Senior Software Engineer - AI Research Clusters role at NVIDIA is a remote position. Country eligibility is not specified here; check the employer listing.
What type of employment is the Senior Software Engineer - AI Research Clusters role?
NVIDIA is hiring for a full-time Senior Software Engineer - AI Research Clusters position.
Which skills are mentioned for the Senior Software Engineer - AI Research Clusters job at NVIDIA?
Detected skill labels include Python, Kubernetes, Docker, Rust, JavaScript, Distributed Systems, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Senior Software Engineer - AI Research Clusters position at NVIDIA?
You can apply for the Senior Software Engineer - AI Research Clusters role directly through NVIDIA's official application link provided on this page.
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