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Remote High Performance Computing Jobs in California

$143K - $189K/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 • ...

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 ...

ML Microarchitect

Mountain View, CA · On-site

$175K - $215K/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 ...

Key Account Manager, Semicon

San Jose, CA · On-site

$110K - $130K/yr

Remote (Bay Area, CA; Austin, TX; Phoenix, AZ; Oregon) Compensation: $110,000 - $130,000 before ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

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Remote High Performance Computing information

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 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.

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.

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 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 cities in California are hiring for Remote High Performance Computing jobs? Cities in California with the most Remote High Performance Computing job openings:
Executive Director, Research Informatics (Academic & Translational Science)

Executive Director, Research Informatics (Academic & Translational Science)

Cedars Sinai

Los Angeles, CA • Remote

Other

Posted 2 days ago


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

36th of 1,002 rated hospitals


Job description

What will you be doing:

The Executive Director of Research Informatics is responsible for advancing academic excellence by delivering timely research-grade data solutions, high-performance computing, applications, translational AI research support, and other IT enabling functions across Cedars Sinai Academic Affairs operations. This position requires a strong background in research informatics, commitment to supporting higher education and academic research, evidence of biomedical research collaboration and leadership capabilities to direct a team of technical professionals.

  • Lead the strategic development and delivery of multimodal research-grade data products and services to support cutting-edge academic research initiatives.
  • Direct the development and implementation of transformative initiatives that advance Cedars Sinai's position as a leader in academic research and higher education.
  • Serve as a key thought partner to academic administration, faculty, students, and researchers for identifying, developing, and implementing advanced technology solutions that advance cutting-edge basic science, clinical, quantitative, and population research at Cedars Sinai.
  • Oversee the implementation and management of high-performance computing and storage infrastructure to meet the evolving demands of complex research programs.
  • Develop and execute strategic initiatives to drive awareness and adoption of RISCC (Research, Informatics and Scientific Computing Core) technology solutions among academic stakeholders.
  • Direct the deployment of sophisticated technology solutions to streamline clinical trial enrollment and facilitate the implementation of AI discoveries in clinical settings.
  • Work with academic leadership to align RISCC capabilities with institutional research strategy and educational needs and priorities.
  • Develop and lead workshops, tutorials, and educational sessions to train and inform the research community about cutting-edge tools, technology, and programs available at Cedars-Sinai.
  • Direct the management of operating and capital expenditures for the department with strong financial stewardship, including budget development and resource allocation.
  • Establish standards and protocols for comprehensive support of education and research applications across the institution.
  • Collaborate with Enterprise Information Services (EIS) leadership to ensure seamless integration of research technology services within the broader institutional technology ecosystem.
  • Build and maintain strategic partnerships with cross-functional teams and key stakeholders to ensure alignment with organizational goals and research priorities.
  • Build, develop, and lead a high-performing team of analysts, business intelligence developers, and technical professionals.
  • Provide executive mentorship and foster professional development and growth of team members.
  • Establish and nurture a culture of innovation, collaboration, and continuous improvement.
  • Provide executive oversight for the consistent delivery of trusted, timely, and high-impact solutions to customers.

*Prefer someone who lives locally or willing to relocate to LA area, but open to remote in Approved States*

Experience Requirements:

Ten (10) plus years of experience in academic medical center environments with proven experience providing multimodal data services (EHR, imaging, pathology and other omics, unstructured data, etc.) and a track record of successfully implementing technology and AI services to support research, clinical trial recruitment, high-performance computing (HPC), and application support.

Five (5) plus years of management experience, preferably in a large medical center environment, with a focus on academic research.

Educational Requirements:

Bachelor's degree in computer science, economics, mathematics, statistics, engineering, or a related biomedical research field.

Master's degree preferred.

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Grow your career at Cedars-Sinai!

Building on a legacy of innovation, Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing.

The organization's Healthtech excellence was acknowledged again, this time by the esteemed "CHIME Digital Health Most Wired" recognition program. Cedars-Sinai was assigned a Level 10-the most prestigious level of certification-among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.

Why work here?

Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for.

Experience Requirements:

Ten (10) plus years of experience in academic medical center environments with proven experience providing multimodal data services (EHR, imaging, pathology and other omics, unstructured data, etc.) and a track record of successfully implementing technology and AI services to support research, clinical trial recruitment, high-performance computing (HPC), and application support.

Five (5) plus years of management experience, preferably in a large medical center environment, with a focus on academic research.

Educational Requirements:

Bachelor's degree in computer science, economics, mathematics, statistics, engineering, or a related biomedical research field.

Master's degree preferred.

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