NVIDIA
Senior GPU Supercomputer Scheduler Engineer
$152K–$288K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Aug 13, 2026
- Location
- US, CA, Santa Clara
US, WA, Redmond - Experience
- 5+ years of work experience.
- Education
- Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience.
About the job
Designs and develops scheduling and orchestration solutions for large GPU compute clusters running AI, deep learning, and high-performance computing workloads.
What you'll do
- Design and develop scheduling features, add-on services, and batch workload orchestration services for GPU clusters.
- Analyze and optimize deep learning workload performance; build automation and improve the GPU computing ecosystem.
- Support staff and end users with scheduler issues, and perform root-cause analysis and corrective action.
What they ask for
- Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience.
- 5+ years of work experience.
- Strong understanding of batch scheduling; significant experience with systems programming and scripting languages; established experience with Linux.
- Experience tuning performance for AI workloads and in-depth understanding of container technologies.
Nice to have
- Knowledge in High-performance computing; Open Source Software Contribution.
- Experience with PyTorch and TensorFlow; interest in SW development processes.
Pay
152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)
Tools
SLURM, K8s, Kueue, Volcano, C/C++, Go, Python, bash
AI focus
Develop scheduling and orchestration for AI workloads and optimize deep learning workflows on GPU clusters.
Model-written summary · the original posting is authoritative