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High Performance Computing Jobs in Berkeley, CA (NOW HIRING)

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

CUDA Developer - Remote

San Francisco, CA ยท Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

Sales Executive

Fremont, CA ยท On-site

$500K/yr

AMAX is seeking a high-performing Sales Executive to drive new business and revenue growth in the fast-moving world of AI, GPU computing, and high-performance infrastructure . This is a hunter role ...

Sales Executive

Fremont, CA ยท On-site

$500K/yr

AMAX is seeking a high-performing Sales Executive to drive new business and revenue growth in the fast-moving world of AI, GPU computing, and high-performance infrastructure . This is a hunter role ...

Sales Executive

Fremont, CA ยท On-site

$500K/yr

AMAX is seeking a high-performing Sales Executive to drive new business and revenue growth in the fast-moving world of AI, GPU computing, and high-performance infrastructure . This is a hunter role ...

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

Showing results 41-60

High Performance Computing information

See Berkeley, CA salary details

$49K

$121.9K

$188K

How much do high performance computing jobs pay per year?

As of Sep 4, 2026, the average yearly pay for high performance computing in Berkeley, CA is $121,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $154,300.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are the most commonly searched types of High Performance Computing jobs in Berkeley, CA?

The most popular types of High Performance Computing jobs in Berkeley, CA are:

What job categories do people searching High Performance Computing jobs in Berkeley, CA look for?

The top searched job categories for High Performance Computing jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for High Performance Computing jobs?

Cities near Berkeley, CA with the most High Performance Computing job openings:

Infographic showing various High Performance Computing job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $121,866 per year, or $58.6 per hour.

Scientific Computing Research Engineer

QT Imaging, Inc.

Novato, CA โ€ข On-site

$120 - $180/hr

Other

Posted 14 days ago


Job description

In Person/Virtual - TBD Full-time | Novato or Petaluma, CA

QT Imaging is a medical device company engaged in research, development, and commercialization of innovative body imaging systems using low frequency sound waves. QT Imaging strives to improve global health outcomes. Its strategy is predicated upon the fact that medical imaging is critical to the detection, diagnosis, and treatment of disease and that it should be safe, affordable, accessible, and centered on the patientโ€™s experience. For more information on QT Imaging, please visit the companyโ€™s website at www.qtimaging.com

Job Description Overview

This position primarily supports QT Imagingโ€™s scientific and clinical development programs through computational modeling, quantitative image analysis, and statistical evaluation of clinical data. Working directly with the Chief Science Officer, the successful candidate will develop simulation tools, analyze imaging datasets, evaluate algorithm performance, and support the design and execution of clinical studies.

The role bridges engineering, physics, computer science, and clinical research, providing quantitative analyses that support product development, regulatory submissions, scientific publications, and future AI development.

[Reports to: Chief Science Officer]

Key Responsibilities

  • Develop computational models and simulations of QT Imagingโ€™s Breast Acoustic CTโ„ข technology.
  • Design and execute quantitative analyses of clinical imaging datasets.
  • Process and analyze large multimodal imaging datasets, including QTscan, MRI, mammography, ultrasound, and pathology data.
  • Evaluate image quality, quantitative biomarkers, segmentation algorithms, and reconstruction performance.
    • Develop software tools for data processing, visualization, statistical analysis, and scientific reporting.
  • Support clinical study design, endpoint development, statistical analysis plans, and interpretation of study results.
  • Perform validation studies comparing QTscan with existing breast imaging modalities.
  • Work closely with Clinical Affairs, Engineering, Regulatory Affairs, and Software Development teams.
  • Prepare scientific reports, abstracts, conference presentations, regulatory documentation, and peer-reviewed publications.
  • Support development and validation of AI and machine learning algorithms using high-quality clinical datasets.
  • Provide quantitative correlation analyses of scanner test data to image reconstruction images.
  • Contribute to scientific publications, grant applications, and intellectual property development.
  • Assist in developing computational workflows that improve efficiency and reproducibility of scientific analyses.

Prior Experience

Qualifications & Requirements

  • S. or Ph.D. in Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, Applied Mathematics, Biomedical Data Science, Physics, or a related field.
  • Strong programming experience in Python, MATLAB, C++, or similar scientific computing languages and use of Linux operating system.
  • Experience with image processing, signal processing, computer vision, or computational modeling.
  • Experience analyzing large clinical or imaging datasets.
  • Familiarity with medical imaging modalities such as MRI, CT, ultrasound, PET, or optical imaging.
  • Understanding of statistical analysis, experimental design, and clinical research methodology.
  • Experience working with DICOM imaging data.
  • Knowledge of machine learning and artificial intelligence methodologies is desirable.
  • Ability to work independently in a fast-paced, multidisciplinary environment.
  • Excellent written and verbal communication skills.
  • Experience with breast imaging is highly desirable.
  • Strong problem-solving and analytical skills to identify and resolve production issues
  • Experience with scientific visualization and data analysis libraries (NumPy, SciPy, Pandas, OpenCV, ITK, VTK, TensorFlow, or PyTorch).
  • Familiarity with Linux environments and high-performance computing
  • Experience supporting FDA-regulated medical device development is preferred.
  • Experience contributing to scientific publications and conference presentations.
  • Knowledge of ISO 13485 and Design Control processes is beneficial.
  • Strong analytical, organizational, and problem-solving skills.
  • Comfortable working collaboratively with physicians, scientists, software engineers, and regulatory teams.

Salary Range

Job Type

Location

This job description is a summary of the typical functions of the position, not necessarily an exhaustive or comprehensive list of all possible position responsibilities, tasks, and duties. The company reserves the right to assign or reassign duties and responsibilities to this job at any time. This job does not constitute a written or implied contract of employment; employment remains โ€œat-willโ€.

Interested in learning more about our Quantitative Transmission Imaging Technology or about the QTI Breast Acoustic CTโ„ข Scanner?QT Imaging Holdings, Inc.

Three Hamilton Landing, Suite 160

Novato, CA 94949

+1 (415) 842-7250

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