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Supercomputer Jobs (NOW HIRING)

ASRC Federal InuTeq is seeking an on-site Control Room Analyst in Mountainview, CA to support the NASA Advanced Supercomputing (NAS) facility, home to some of the world's fastest supercomputers ...

Job Summary As we scale, we're looking for a Technical Recruiter (Supercomputing/ML) to build and own some of the most high-leverage, relationship-driven parts of our recruiting function. This role ...

Job Summary As we scale, we're looking for a Technical Recruiter (Supercomputing/ML) to build and own some of the most high-leverage, relationship-driven parts of our recruiting function. This role ...

Patent Counsel

San Francisco, CA ยท On-site

$175K - $200K/yr

The technical demands were so extreme we literally melted GPUs building this, which is why we're now operating one of the world's fastest private supercomputers. Backed by $145M from Prysm Capital ...

Senior HPC Engineer

College Station, TX ยท On-site

$90K - $123K/yr

Texas A&M University is making a bold leap into the future of artificial intelligence with a significant investment in supercomputing technology. The Senior HPC Engineer will provide technical ...

Senior GPU Supercomputer Scheduler Engineer

Redmond, WA ยท On-site

$137K - $180K/yr

Job Summary : 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.

... supercomputing systems. The project works directly with our engineers to provide common software engineering solutions for the reactor design community, applicable to all naval nuclear core designs.

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Supercomputer information

What are 5 jobs in computer science?

Five common jobs in computer science include software developer, systems analyst, network administrator, cybersecurity analyst, and data scientist. These roles often require programming skills, knowledge of algorithms, and familiarity with computer systems and networks. They are found in various industries such as technology, finance, healthcare, and government.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, investment bankers, and successful entrepreneurs. These roles typically require extensive experience, advanced skills, and often involve significant responsibilities or ownership stakes.

Which 3 jobs will survive AI?

Supercomputing roles such as computational scientists, data analysts, and software engineers are likely to persist as they require complex problem-solving, specialized knowledge, and ongoing innovation. These jobs involve designing, maintaining, and utilizing high-performance systems that are difficult to fully automate. Skills in programming, data management, and domain expertise will remain valuable in these fields.

What are the key skills and qualifications needed to thrive in the Supercomputer position, and why are they important?

To thrive as a Supercomputer Engineer, you need expertise in high-performance computing (HPC), computer architecture, parallel programming, and advanced mathematics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as MPI, OpenMP, Linux systems, and certifications like Certified HPC Professional can be critical. Strong problem-solving abilities, collaboration, and communication skills set exceptional candidates apart in multidisciplinary environments. These competencies are essential for building, optimizing, and managing supercomputing resources that drive scientific discovery and innovation.

What tech jobs pay 400,000 a year?

High-level roles such as senior software engineers, data scientists, and machine learning engineers can earn $400,000 or more annually, especially with experience, advanced skills, and in competitive industries. Executive positions like CTOs and technical directors also often reach or exceed this salary level, typically requiring extensive leadership experience and specialized expertise.

What are the typical responsibilities of a Supercomputer Engineer on a daily basis?

Supercomputer Engineers are responsible for designing, configuring, and maintaining high-performance computing systems to support complex computations in fields such as scientific research, weather modeling, and data analytics. On a daily basis, they might monitor system performance, troubleshoot hardware or software issues, optimize code for scalability, and collaborate closely with researchers and IT professionals to ensure workloads run efficiently. Additionally, they often assist in upgrading systems and implementing the latest technologies to maximize computational power. Working in this role offers opportunities for ongoing professional development and cross-functional teamwork, making each day both challenging and rewarding.

What is a Supercomputer job?

A Supercomputer job typically involves working with high-performance computing (HPC) systems to process complex calculations at extremely high speeds. Professionals in this field may develop software, optimize system performance, manage hardware infrastructure, or support scientific and engineering research. These roles are common in fields such as climate modeling, artificial intelligence, biomedical research, and financial simulations.

What cities are hiring for Supercomputer jobs? Cities with the most Supercomputer job openings:
What are the most commonly searched types of Supercomputer jobs? The most popular types of Supercomputer jobs are:
What states have the most Supercomputer jobs? States with the most job openings for Supercomputer jobs include:
Infographic showing various Supercomputer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, and 4% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Operations Engineer, Fleet Reliability

Operations Engineer, Fleet Reliability

CoreWeave

Richmond, VA โ€ข On-site

$55.75 - $74.25/hr

Full-time

Posted 21 days ago


Job description

Job Summary:
CoreWeave is The Essential Cloud for AIโ„ข, providing a platform for innovators to build and scale AI. The Operations Engineer, Fleet Reliability will manage the provisioning and uptime of supercomputing clusters, troubleshoot issues, and improve team processes in a fast-paced environment.
Responsibilities:
โ€ข Configure and maintain large-scale high-performance supercomputing clusters running state-of-the-art GPUs
โ€ข Troubleshoot hardware and software issues; escalate and coordinate as needed with data center, network, hardware and platform teams to drive resolution
โ€ข Monitor and analyze system performance and take appropriate remediation actions for cloud health
โ€ข Approach your work with flexibility and optimism anticipating shifting business and technical priorities
โ€ข Create and maintain documentation of team processes, knowledge and best practices for system management
โ€ข Think critically about your day-to-day work and work collaboratively to improve team processes and efficiency
โ€ข Participate in oncall rotations which include after hours and weekend work
Qualifications:
Required:
โ€ข Strong understanding of Linux system administration and internals
โ€ข Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably
โ€ข Software development or scripting languages (bash, python, powershell, etc)
Preferred:
โ€ข 2 + years of experience troubleshooting or administering data center or on-prem infrastructure (servers, storage, network or a mix)
โ€ข Grafana, Prometheus, promsql queries or similar observability platforms
โ€ข Data center environments including server racks, HVAC systems, fiber trays
โ€ข Kubernetes administration
โ€ข HPC - administering GPU-related workloads
โ€ข Bachelorโ€™s degree in a related field or equivalent experience
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.