Senior GPU HPC Scheduler Engineer | Equity Eligible

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 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.