Senior GPU Supercomputer Scheduler Engineer

About the role

NVIDIA is seeking a skilled engineer to join the Scheduling team within the Managed AI Research Superclusters (MARS) division. The ideal candidate will have a strong background in batch scheduling and systems programming, with experience in developing and optimizing GPU compute clusters.

Responsibilities

• Design and develop new scheduling features and add-on services to improve GPU compute clusters across various dimensions.
• Provide support to staff and end users to resolve batch scheduler issues.
• Build and improve the ecosystem around GPU-accelerated computing.
• Perform performance analysis and optimizations of deep learning workflows.
• Develop large-scale automation solutions.
• Conduct root cause analysis and suggest corrective actions for problems of varying scales.
• Find and fix problems before they occur.

Requirements

• 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 SLURM or K8s batch schedulers.
• Significant experience in systems programming languages such as C/C++, Go, and scripting languages such as Python and bash.
• Experience with Linux operating system, environment, and tools.
• Experience analyzing and tuning performance for a variety of AI workloads.
• In-depth understanding of container technologies like Docker, Singularity, Podman.
• Flexibility and adaptability for working in a dynamic environment with different frameworks and requirements.
• Excellent communication, interpersonal, and customer collaboration skills.

Qualifications

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

Benefits

The position offers competitive compensation, including a base salary range of $152,000 - $241,500 for Level 3 and $184,000 - $287,500 for Level 4, along with equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

This posting is for an existing vacancy. Applications will be accepted until February 24, 2026.