Hpc Ai information
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$10.34 - $16.96
4% of jobs
$16.96 - $23.58
1% of jobs
$23.58 - $30.20
2% of jobs
$30.20 - $36.82
0% of jobs
$36.82 - $43.44
3% of jobs
$43.44 - $50.07
8% of jobs
$52.45 is the 25th percentile. Wages below this are outliers.
$50.07 - $56.69
17% of jobs
The median wage is $60.57 / hr.
$56.69 - $63.31
24% of jobs
$67.60 is the 75th percentile. Wages above this are outliers.
$63.31 - $69.93
23% of jobs
$69.93 - $76.55
12% of jobs
$76.55 - $83.17
5% of jobs
How much do hpc ai jobs pay per hour?
As of Sep 6, 2026, the average hourly pay for hpc ai in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.
HPC AI jobs refer to roles that combine High Performance Computing (HPC) and Artificial Intelligence (AI). Professionals in this field develop, optimize, and deploy AI models that require significant computational resources, often using supercomputers or large-scale clusters. These roles can include tasks such as designing scalable machine learning algorithms, managing data pipelines, and ensuring efficient use of computing power for complex simulations and analyses. HPC AI specialists are found in industries like scientific research, finance, healthcare, and autonomous systems where large datasets and intensive computations are common.
To thrive as an HPC AI Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by an advanced degree in a related field. Familiarity with high-performance computing clusters, parallel programming (e.g., MPI, CUDA), and AI frameworks like TensorFlow or PyTorch is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and interpreting results. Mastering these skills enables efficient development and deployment of AI models at scale, ensuring optimal performance and innovation in data-intensive environments.
HPC AI specialists frequently collaborate with data scientists, software engineers, and IT infrastructure teams to design, implement, and optimize large-scale AI solutions. They often work closely with these groups to ensure that computational resources are efficiently utilized, AI models are scalable, and workflows are properly integrated with existing systems. Effective communication and cross-functional teamwork are essential, as HPC AI roles often involve troubleshooting performance bottlenecks and aligning AI workloads with organizational goals. Regular meetings, code reviews, and joint project planning sessions are common practices to facilitate this collaboration.
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