Hiring: Senior GPU Supercomputer Scheduler Engineer Company: NVIDIA Location: Redmond, WA Job Posted Time: 2026-09-09 17:59:08 Employment Type: Full-time Target Skills & Keywords: GPU Scheduling, Batch Scheduling, SLURM, Kubernetes Batch Schedulers (Kueue, Volcano), C/C++, Go, Python, Bash, Linux, AI Workloads, Docker, Singularity, Podman, High-Performance Computing, PyTorch, TensorFlow 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 Required Skills: - 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 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 - In-depth understanding 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 Qualifications: - Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience - Knowledge in High-performance computing (preferred) - Open Source Software Contribution (preferred) - Experience with deep learning frameworks like PyTorch and TensorFlow (preferred) - Passionate about SW development processes (preferred) Compensation: - Base salary range: 152,000 USD - 241,500 USD for Level 3 - Base salary range: 184,000 USD - 287,500 USD for Level 4 - Eligible for equity and benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!