NVIDIA
Senior Platform and EngOps Engineer - Cluster Operations
NVIDIA, Santa Clara, California, us, 95053
Senior Platform and EngOps Engineer - Cluster Operations
Join to apply for the
Senior Platform and EngOps Engineer - Cluster Operations
role at
NVIDIA Senior Platform and EngOps Engineer - Cluster Operations
Join to apply for the
Senior Platform and EngOps Engineer - Cluster Operations
role at
NVIDIA Direct message the job poster from NVIDIA Sr. Technical Recruiter @ Nvidia (CUDA, DGX & Cloud Computing SW, Autonomous Vehicles, AI/DL/ML)
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
Join our team of innovative engineers who develop and maintain software facilitating GPU communication, driving groundbreaking solutions in High Performance Computing and Deep Learning. We're looking for highly motivated EngOps and Platform Engineers to boost execution efficiency while managing and maintaining large GPU clusters interconnected via NVLink and InfiniBand.
What You Will Be Doing
Develop automated tools to efficiently deploy, provision, and maintain extensive GPU clusters interconnected via NVLink and InfiniBand Implement modern DevOps tools to automate software updates, perform maintenance tasks, and monitor cluster availability, ensuring seamless operations. Take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain optimal cluster availability and performance. Manage the rollout and rollback of cluster software and firmware updates, ensuring smooth transitions and minimal disruptions. Collaborate effectively with dynamic Engineering and Product Teams across multiple time zones to align cluster operations with evolving project requirements.
What We Need To See
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience. 5+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure. Automation expert with hands on skills in Ansible, Python and Shell Scripting. Deep understanding of operating systems, computer networks, and high-performance applications. Proven ability to work effectively with developers and test engineers across different teams and time zones. Proficient with Linux fundamentals.
Ways To Stand Out From The Crowd
Familiarity with resource scheduling managers, preferably Slurm. Direct experience with industry standard alerting tools and emergency response practices. Hands-on experience with GPU-focused hardware and software, such as DGX systems and Compute Clusters. Proficiency in crafting and implementing a robust metrics collection and alerting infrastructure. Proficiency in designing large scale networking technologies and the associated challenges.
The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits .
NVIDIA accepts applications on an ongoing basis.
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.
JR1997951
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for Platform Engineer roles.
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Join to apply for the
Senior Platform and EngOps Engineer - Cluster Operations
role at
NVIDIA Senior Platform and EngOps Engineer - Cluster Operations
Join to apply for the
Senior Platform and EngOps Engineer - Cluster Operations
role at
NVIDIA Direct message the job poster from NVIDIA Sr. Technical Recruiter @ Nvidia (CUDA, DGX & Cloud Computing SW, Autonomous Vehicles, AI/DL/ML)
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
Join our team of innovative engineers who develop and maintain software facilitating GPU communication, driving groundbreaking solutions in High Performance Computing and Deep Learning. We're looking for highly motivated EngOps and Platform Engineers to boost execution efficiency while managing and maintaining large GPU clusters interconnected via NVLink and InfiniBand.
What You Will Be Doing
Develop automated tools to efficiently deploy, provision, and maintain extensive GPU clusters interconnected via NVLink and InfiniBand Implement modern DevOps tools to automate software updates, perform maintenance tasks, and monitor cluster availability, ensuring seamless operations. Take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain optimal cluster availability and performance. Manage the rollout and rollback of cluster software and firmware updates, ensuring smooth transitions and minimal disruptions. Collaborate effectively with dynamic Engineering and Product Teams across multiple time zones to align cluster operations with evolving project requirements.
What We Need To See
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience. 5+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure. Automation expert with hands on skills in Ansible, Python and Shell Scripting. Deep understanding of operating systems, computer networks, and high-performance applications. Proven ability to work effectively with developers and test engineers across different teams and time zones. Proficient with Linux fundamentals.
Ways To Stand Out From The Crowd
Familiarity with resource scheduling managers, preferably Slurm. Direct experience with industry standard alerting tools and emergency response practices. Hands-on experience with GPU-focused hardware and software, such as DGX systems and Compute Clusters. Proficiency in crafting and implementing a robust metrics collection and alerting infrastructure. Proficiency in designing large scale networking technologies and the associated challenges.
The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits .
NVIDIA accepts applications on an ongoing basis.
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.
JR1997951
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for Platform Engineer roles.
Palo Alto, CA $100,000.00-$220,000.00 1 month ago Mountain View, CA $150,000.00-$220,000.00 1 week ago San Jose, CA $108,800.00-$162,800.00 1 day ago Software Engineer, PhD, Early Career Campus, Machine Learning, Systems and Cloud AI, GPU Performance, 2025 Start
San Jose, CA $194,000.00-$410,000.00 1 week ago Sunnyvale, CA $135,000.00-$170,000.00 1 month ago Sunnyvale, CA $141,000.00-$202,000.00 2 days ago Software Engineer, ML Systems and Cloud AI, Embedded and Networking, University Graduate, PhD, Campus, 2025
Palo Alto, CA $182,000.00-$202,000.00 1 month ago Mountain View, CA $167,200.00-$250,800.00 2 weeks ago Sunnyvale, CA $117,500.00-$270,000.00 2 months ago Sunnyvale, CA $141,000.00-$202,000.00 1 week ago Member of Technical Staff, Platform Engineer
Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Distinguished Software Engineer, Reliability Infra
Mountain View, CA $238,000.00-$390,000.00 1 week ago Redwood City, CA $120,000.00-$158,000.00 2 weeks ago Software Engineer, ML Data Infrastructure
Mountain View, CA $170,000.00-$216,000.00 2 weeks ago AI/ML Software Engineer Intern (Data Platform) - 2025 Fall (BS/MS)
Sunnyvale, CA $229,000.00-$254,000.00 3 weeks ago San Jose, CA $130,000.00-$170,000.00 1 week ago Sunnyvale, CA $141,000.00-$202,000.00 1 week ago Sunnyvale, CA $141,000.00-$202,000.00 1 week ago Pleasanton, CA $97,300.00-$194,700.00 1 day ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr