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Remote Research Computing Jobs in California (NOW HIRING)

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... remote. What You'll Do: * Implement and refine DL pipelines on distributed computing platforms ... a research team. * Excellent ability to work effectively with cross-functional teams and ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ... a research team. * Excellent ability to work effectively with cross-functional teams and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Distributed computing tools and cloud technology (AWS) QUALIFICATIONS * Degree in Data Science ...

DigitalOcean

Financial Reporting Manager

San Francisco, CA · Remote

$112K - $141K/yr

... cloud computing and AI. You'll be part of a high-performing team that ensures completeness and ... Conduct peer disclosure research with consideration for U.S. GAAP requirements as well as peer ...

Mantari

Software Engineer

Long Beach, CA · On-site +1

Translate novel research prototypes into production-grade code You'll work closely with Mantari ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Leidos

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/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 ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

Leidos

Software Engineer

Cardiff By The Sea, CA · On-site +1

$87K - $157K/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 ...

Leidos

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/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 ...

Leidos

Software Engineer

Rancho Santa Fe, CA · On-site +1

$87K - $157K/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 ...

Leidos

Software Engineer

National City, CA · On-site +1

$87K - $157K/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 ...

Leidos

Software Engineer

El Cajon, CA · On-site +1

$87K - $157K/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 ...

Leidos

Software Engineer

Chula Vista, CA · On-site +1

$87K - $157K/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 ...

Leidos

Software Engineer

La Jolla, CA · On-site +1

$87K - $157K/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 ...

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All JobsRemote Research Computing JobsRemote Research Computing Jobs in California

Remote Research Computing information

What are the key skills and qualifications needed to thrive in Remote Research Computing, and why are they important?

To excel in Remote Research Computing, you need a strong background in computer science, data analysis, and scientific research methods, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, cloud platforms, programming languages (such as Python or R), and experience with collaborative tools are typically required. Excellent problem-solving, communication, and self-management skills help professionals work effectively across virtual teams and complex projects. These skills and qualities are vital to ensure efficient research workflows, accurate data handling, and successful collaboration in a remote, technology-driven environment.

What is remote research computing?

Remote research computing refers to the use of computing resources, such as high-performance computers or cloud-based systems, that can be accessed from anywhere via the internet. This enables researchers to perform complex data analysis, simulations, or computational experiments without being physically present at the location of the hardware. It is especially useful for collaborative projects, large datasets, and situations where local computing power is insufficient. Researchers use secure connections and specialized software to interact with these remote resources efficiently.

What are some common challenges faced by professionals working in Remote Research Computing, and how can they be addressed?

Professionals in Remote Research Computing often encounter challenges such as ensuring secure and efficient data transfer, collaborating with geographically dispersed teams, and troubleshooting computational issues without in-person support. To address these challenges, it's important to become proficient with remote collaboration tools, maintain clear communication with team members, and stay updated on best practices for data security and cloud resource management. Many organizations also provide virtual onboarding and regular training sessions to help remote research computing staff adapt to evolving technologies and workflows.
What are the most commonly searched types of Research Computing jobs in California? The most popular types of Research Computing jobs in California are:
What are popular job titles related to Remote Research Computing jobs in California? For Remote Research Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Research Computing jobs in California look for? The top searched job categories for Remote Research Computing jobs in California are:
What cities in California are hiring for Remote Research Computing jobs? Cities in California with the most Remote Research Computing job openings:
Remote Research Computing jobs near you

Hyperbolic Labs - Senior GPU Infrastructure Engineer

De Circle

San Francisco, CA • On-site, Remote

$127K - $173K/yr

Full-time

Posted 22 days ago

Job description

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math, and Computer Science - is poised to redefine computing.
About the Role
We're seeking a Senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers.
Who You Are
  • Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
  • Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization
  • Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation
  • Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints
  • Proficiency with API design and cloud-init for automated provisioning and configuration
  • Solid understanding of GPU architecture, CUDA, and GPU compute optimization
  • Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders
  • Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations
  • Experience building and scaling cloud infrastructure or distributed systems in production environments

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