Senior GPU Supercomputer Scheduler Engineer

NVIDIA; United States; On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Systems Engineer for the Managed AI Research Superclusters (MARS) group to design and optimize batch scheduling for GPU clusters, improving resource fairness and performance across AI workloads.

You will work with SLURM/K8s schedulers, develop in C/C++, Go, Python, and container tech like Docker and Singularity, and help scale automation while solving complex reliability challenges.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience.
• 5+ years of work experience.
• Strong understanding of batch scheduling, preferably with SLURM or K8s batch schedulers.

Responsibilities

• Design and develop new scheduling features and add-on services to improve GPU compute clusters.
• Design and develop batch workload management and orchestration services.
• Provide support to staff and end users to resolve batch scheduler issues.
• Build and improve our ecosystem around GPU-accelerated computing.
• Performance analysis and optimizations of deep learning workflows.
• Develop large scale automation solutions.
• Root cause analysis and corrective actions for issues.

Skills

Batch scheduling

C/C++

Go

Python

Linux

Docker

Singularity

Podman

Kubernetes

Education

Bachelor's degree in Computer Science or related field

Tools

SLURM

K8s schedulers (Kueue/Volcano)

Job description

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration.

Within this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you'll help design solutions that power some of the world's most advanced computing workloads.

What you’ll be doing:

• Design and develop new scheduling features and add-on services to improve GPU compute clusters across many dimensions, such as resource usage fairness, GPU occupancy, GPU waste, application resilience, application performance and power usage.
• Design and develop batch workload management and orchestration services
• Provide support to staff and end users to resolve batch scheduler issues
• Build and improve our ecosystem around GPU-accelerated computing
• Performance analysis and optimizations of deep learning workflows
• Develop large scale automation solutions
• Root cause analysis and suggest corrective action for problems large and small scales
• Finding and fixing problems before they occur

What we need to see:

• Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience
• 5+ years of work experience
• Strong understanding of batch scheduling, preferably with experience in schedulers such as SLURM or K8s batch schedulers (Kueue, Volcano, etc.)
• Significant experience in systems programming languages such as C/C++ & Go as well as scripting languages such as Python and bash
• Established experience in Linux operating system, environment and tools
• Experience analyzing and tuning performance for a variety of AI workloads
• In-depth understating of container technologies like Docker, Singularity, Podman
• Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements
• Excellent communication, interpersonal and customer collaboration skills

Ways to stand out from the crowd:

• Knowledge in High-performance computing
• Open Source Software Contribution
• Experience with deep learning frameworks like PyTorch and TensorFlow
• Passionate about SW development processes

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 17, 2026.

This posting is for an existing vacancy.

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.