Senior GPU Cluster Scheduler & HPC Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced Scheduling Engineer to join the MARS team in Santa Clara, CA. You will design GPU compute cluster scheduling features for AI/ML workloads and help scale large multi-node systems across diverse frameworks.

The role emphasizes performance analysis, automation, and collaboration with researchers and engineers to deliver production-grade solutions. On-site, competitive compensation, equity, and benefits are offered.

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 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

Responsibilities

• 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

Skills

Batch scheduling

C/C++

Go

Python & Bash

Linux

Performance analysis

Communication skills

Education

Bachelor’s degree in Computer Science, Electrical Engineering or related field

Tools

Docker

Singularity

Podman

Job description

NVIDIA is seeking an experienced Scheduling Engineer to join the MARS team in Santa Clara, CA. You will design GPU compute cluster scheduling features for AI/ML workloads and help scale large multi-node systems across diverse frameworks.

The role emphasizes performance analysis, automation, and collaboration with researchers and engineers to deliver production-grade solutions. On-site, competitive compensation, equity, and benefits are offered.