Senior GPU Supercomputer Scheduler Engineer

NVIDIA; Redmond (WA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is looking for a skilled engineer in Redmond to design and develop scheduling features for GPU compute clusters. The role involves improving resource usage, application performance, and automation solutions while supporting staff in resolving issues.

The ideal candidate should have a Bachelor's degree in Computer Science or equivalent and over 5 years of experience in systems programming, including C/C++ and batch scheduling expertise.

Salary range is $152,000 - $241,500 for Level 3, with benefits and equity eligibility.

Qualifications

• 5+ years of experience in systems programming and batch scheduling.
• Strong skills in C/C++, Go, Python, and Linux.
• Experience with container technologies like Docker.

Responsibilities

• Design and develop new scheduling features for GPU compute clusters.
• Conduct performance analysis for deep learning workflows.
• Provide support for batch scheduler issues and improve ecosystems.

Skills

Batch scheduling

C/C++ programming

Go programming

Python scripting

Linux expertise

Performance tuning

Education

Bachelor’s degree in Computer Science or related field

5+ years of work experience

Tools

SLURM

K8s batch schedulers

Docker

Singularity

Podman

Job description

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you’ll help design solutions that power some of the world’s most advanced computing workloads.

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

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++ and 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 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

Ways To Stand Out From The Crowd

• 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 February 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.