ZipRecruiter

Log In

1

Senior High Performance Computing Jobs (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsHigh Performance Computing JobsSenior High Performance Computing Jobs

Senior High Performance Computing information

See salary details

$25K

$80.3K

$163.5K

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

As of Jun 4, 2026, the average yearly pay for senior high performance computing in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior High Performance Computing vs High Performance Computing Engineer?

AspectSenior High Performance ComputingHigh Performance Computing Engineer
CredentialsBachelor's or Master's in Computer Science, often with certifications in HPCBachelor's or Master's in Computer Science or related field, with HPC experience
Work EnvironmentResearch labs, universities, large data centersData centers, research institutions, tech companies
Industry UsageAcademic, research, government projectsCommercial, research, technology sectors
Primary FocusLeadership in HPC projects, strategic planningDesigning, developing, optimizing HPC systems and applications

While both roles involve high-performance computing, Senior High Performance Computing professionals typically focus on leadership and strategic oversight, whereas High Performance Computing Engineers are more involved in technical development and system optimization. The roles often overlap in skills and environment but differ in scope and responsibilities.

More about Senior High Performance Computing jobs
What cities are hiring for Senior High Performance Computing jobs? Cities with the most Senior High Performance Computing job openings:
What are the most commonly searched types of High Performance Computing jobs? The most popular types of High Performance Computing jobs are:
What states have the most Senior High Performance Computing jobs? States with the most job openings for Senior High Performance Computing jobs include:
What job categories do people searching Senior High Performance Computing jobs look for? The top searched job categories for Senior High Performance Computing jobs are:
Senior High Performance Computing jobs near you
Infographic showing various Senior High Performance Computing job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, and 27% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

High Performance Computing (HPC) Engineer

GenBio AI

Palo Alto, CA

$170K - $260K/yr

Full-time

Posted 19 days ago

Job description

Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
Job Description
  • GPU Cluster Management: Design, deploy, and maintain high-performance GPU clusters, ensuring their stability, reliability, and scalability. Monitor and manage cluster resources to maximize utilization and efficiency.
  • Distributed/Parallel Training: Implement distributed computing techniques to enable parallel training of large deep learning models across multiple GPUs and nodes. Optimize data distribution and synchronization to achieve faster convergence and reduced training times.
  • Performance Optimization: Fine-tune GPU clusters and deep learning frameworks to achieve optimal performance for specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
  • Deep Learning Framework Integration: Collaborate with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI's model development and deployment frameworks. 
  • Scalability and Resource Management: Ensure that the GPU clusters can scale effectively to handle increasing computational demands. Develop resource management strategies to prioritize and allocate computing resources based on project requirements. 
  • Troubleshooting and Support: Troubleshoot and resolve issues related to GPU clusters, distributed training, and performance anomalies. Provide technical support to users and resolve technical challenges efficiently.
  • Documentation: Create and maintain documentation related to GPU cluster configuration, distributed training workflows, and best practices to ensure knowledge sharing and seamless onboarding of new team members.
Job Requirements:
  • Master's or Ph.D. degree in computer science, or a related field with a focus on High-Performance Computing, Distributed Systems, or Deep Learning.
  • 2+ years proven experience in managing GPU clusters, including installation, configuration, and optimization.
  • Strong expertise in distributed deep learning and parallel training techniques.
  • Proficiency in popular deep learning frameworks like PyTorch, Megatron-LM, DeepSpeed, etc.
  • Programming skills in Python and experience with GPU-accelerated libraries (e.g., CUDA, cuDNN).
  • Knowledge of performance profiling and optimization tools for HPC and deep learning.
  • Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)
  • Strong background in distributed systems, cloud computing (AWS, GCP), and containerization (Docker, Kubernetes)
$170,000 - $260,000 a year
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply