Senior GPU Supercomputer Scheduler Engineer
NVIDIA· Engineer, Sys SW
Santa Clara, CA, Redmond, WA$152k - $241.5kunknownPosted 7mo ago
About the role
Engineer role within NVIDIA's MARS team focusing on designing and implementing scheduling for GPU compute clusters to support large multi-node AI/ML workloads, HPC, and deep learning pipelines.
Responsibilities
- Design and develop new scheduling features and add-on services to improve GPU compute clusters across multiple dimensions (resource usage fairness, GPU occupancy, GPU waste, application resilience, application performance, 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
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
Skills
Required:Batch schedulingSystems programmingScriptingLinuxPerformance tuningContainer technologies
Benefits
- You will be eligible for equity and benefits.
Last updated Aug 14, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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