Senior GPU Supercomputer Scheduler Engineer

• 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

• 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

• 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 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.