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Remote High Performance Computing Jobs in California

A5 Labs

$143.60K - $189.30K/yr

... computing and high-performance computing. • Stay at the forefront of technological advancements to incorporate cutting-edge solutions into the gaming experience. What You Bring to the Table • ...

Leidos

Software Engineer

San Diego, CA · On-site +1

$87.10K - $157.45K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing . We ...

Waymo

ML Microarchitect

Mountain View, CA · On-site +1

$170K - $216K/yr

... high performance computing cores (CPU/GPU/NPU) * Fluency in at least one high level programming ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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Remote High Performance Computing information

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

What is the difference between Remote High Performance Computing vs Remote Data Scientist?

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of High Performance Computing jobs in California? The most popular types of High Performance Computing jobs in California are:
What are popular job titles related to Remote High Performance Computing jobs in California? For Remote High Performance Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in California look for? The top searched job categories for Remote High Performance Computing jobs in California are:
What cities in California are hiring for Remote High Performance Computing jobs? Cities in California with the most Remote High Performance Computing job openings:
Remote High Performance Computing jobs near you
Senior AI Inference Performance Engineer (Remote)

Senior AI Inference Performance Engineer (Remote)

DigitalOcean

San Francisco, CA • Remote

$123.10K - $169.10K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading cloud infrastructure company is seeking a Senior Engineer 2 to join their AI Inference Optimization team. The role involves leading the technical strategy for performance architecture and addressing complex performance issues ensuring industry-leading service. Successful candidates will have over 5 years of experience in high-performance computing and a strong understanding of GPU architectures.

The position offers a competitive salary range along with remote work flexibility and numerous professional development benefits. #J-18808-Ljbffr

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