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High Performance Computing Hpc Jobs in Fremont, CA

Zealogics Inc is seeking an HPC Engineer. The primary responsibilities include maintaining and ... Responsibilities : • Candidates should have good domain knowledge in High-Performance Computing ...

Senior CPU Performance Architect

Santa Clara, CA · On-site

$196K/yr

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers ...

HPC Operations Engineer

Santa Clara, CA · On-site

$81K - $110K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

HPC Operations Engineer

Santa Clara, CA · Hybrid

$81K - $110K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

Showing results 21-40

High Performance Computing Hpc information

See Fremont, CA salary details

$35.6K

$74.7K

$122.6K

How much do high performance computing hpc jobs pay per year?

As of Aug 9, 2026, the average yearly pay for high performance computing hpc in Fremont, CA is $74,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $90,900.00 per year, depending on experience, location, and employer.

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

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.
What are popular job titles related to High Performance Computing Hpc jobs in Fremont, CA? For High Performance Computing Hpc jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching High Performance Computing Hpc jobs in Fremont, CA look for? The top searched job categories for High Performance Computing Hpc jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for High Performance Computing Hpc jobs? Cities near Fremont, CA with the most High Performance Computing Hpc job openings:
Infographic showing various High Performance Computing Hpc job openings in Fremont, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $74,710 per year, or $35.9 per hour.

HPE Labs - Senior Software Engineer - Integrated HPC & Quantum Solutions

Hewlett Packard Enterprise Development LP

Milpitas, CA • On-site

$142K - $188K/yr

Full-time

Posted 18 days ago


Job description

HPE Labs - Senior Software Engineer - Integrated HPC & Quantum SolutionsThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

The HPE Quantum team at HPE Labs is developing new approaches for quantum computing, including integration with high performance computing (HPC). As a Senior Software Engineer, you will be at the forefront of efforts to bring quantum computing from research to practical reality. You will bring expertise in software development and quantum computing to develop and extend quantum circuit compilation, circuit execution, resource estimation, and circuit simulation capabilities. Working closely with a multidisciplinary team of engineers, researchers, and product managers, you will build usable, efficient, and innovative systems that combine quantum and high-performance computing. The preferred candidate has a strong technical background in both quantum computing and HPC, advanced programming skills, and the ability to communicate complex ideas to diverse audiences.

Key Responsibilities:

  • Develop and demonstrate software that supports quantum computing applications and HPC-QC system management through job management, scheduling, compilation, and workflow frameworks
  • Create software adapters that connect quantum computing software tools (compilers, SDKs) with other tools using open standards where possible, and evaluate open-source and commercial software for inclusion in integrated HPC-QC environments
  • Develop functional and unit tests, support code quality with automated testing and continuous integration, and assist with code reviews
  • Implement and improve software prototypes to support research efforts, extending open source software as needed
  • Create mock-up and test bed systems to demonstrate HPC-QC software capabilities
  • Prepare internal and external demonstrations, create technical documentation, and write portions of research papers relating to software development efforts
  • Contribute to the development of open specifications and standards to support interoperability in quantum computing

Requirements:

  • Master's degree in Computer Science, Physics, Mathematics, or related field, or equivalent work experience
  • 6 or more years of programming experience
  • Advanced programming skills in low-level languages such as C, C++, or Rust, and advanced programming skills in Python
  • Experience contributing to large software projects and creating new software efforts, including library API design
  • Experience creating or extending quantum computing tools (e.g., Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane)
  • Strong understanding of quantum computing, including skills in understanding and optimizing circuits
  • Deep understanding of HPC architecture, GPU/CPU function and applicability, cluster design, job scheduling, workload optimization, and performance tuning and testing
  • Strong mathematical background with excellent skills in areas such as statistics, probability, and linear algebra

Knowledge and Skills:

  • Strong leadership, communication, and stakeholder engagement skills with an outcome-focused mindset and bias for action and delivery
  • Focus on quality and customer results, with creative and analytical thinking abilities and a passion for solving complex problems
  • Strong consensus-building skills, capable of conveying complex ideas clearly to both technical and non-technical audiences in written and presentation formats
  • Experience with Linux command line tools and familiarity with Agile development methodologies
  • Knowledge of quantum computing applications such as quantum chemistry, quantum simulation, quantum error correction (QEC), or combinatorial optimization
  • Experience with cloud computing platforms, GPU computing, AI/ML frameworks (e.g., TensorFlow, PyTorch), or compiler development (especially MLIR)
  • Experience developing microservices client/server software
  • Track record of sharing findings with the broader scientific community through research papers, blogs, or other public materials

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#Hplabs

Job:

Engineering

Job Level:

TCP_04"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 135,500 - 258,500 in Massachusetts // 135,500 - 275,000 in California // 119,500 - 275,000 in Illinois & Maryland
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is October 26 2026; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.