ZipRecruiter

Log In

1

Hpc Ai Jobs (NOW HIRING)

Biohub

Staff HPC Engineer

San Francisco, CA · On-site +1

The Team The HPC Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and ...

Biohub

Staff HPC Engineer

San Francisco, CA · Hybrid

The Team The HPC Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and ...

next page

Showing results 1-20

All JobsHpc Ai Jobs

Hpc Ai information

See salary details

$10

$58

$83

How much do hpc ai jobs pay per hour?

As of Jul 4, 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.

What are the typical collaboration dynamics between HPC AI specialists and other technical teams within an organization?

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.

What are HPC AI jobs?

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.

What are the key skills and qualifications needed to thrive as an HPC AI Specialist, and why are they important?

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.
More about Hpc Ai jobs
What cities are hiring for Hpc Ai jobs? Cities with the most Hpc Ai job openings:
What states have the most Hpc Ai jobs? States with the most job openings for Hpc Ai jobs include:
What job categories do people searching Hpc Ai jobs look for? The top searched job categories for Hpc Ai jobs are:
Hpc Ai jobs near you
HPC / AI Software Infrastructure Lead (E)

HPC / AI Software Infrastructure Lead (E)

KLA Corporation

Ann Arbor, MI

$151K - $256K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

HPC/AI Software Infrastructure Leads are core to KLA's technology, while we do not currently have an opening, we are always building our HPC/AI Software Infrastructure Lead Engineering talent community, we are interested in learning about your background.

Apply to this posting for Future Opportunities with KLA.

At KLA, we're pushing the boundaries of semiconductor inspection through advanced AI and high-performance computing. We are looking for a hands-on technical leader to architect and scale the next generation of AI/HPC infrastructure powering our most critical imaging and data platforms. This role is ideal for someone who thrives at the intersection of distributed systems, GPU computing, and real-world AI workloads, and who enjoys building and mentoring high-performing engineering teams while driving technical excellence.

What You'll Do

  • Lead the architecture and development of large-scale HPC and AI infrastructure supporting cutting-edge image processing and machine learning workloads
  • Design scalable, high-performance distributed systems that unify traditional image processing with modern AI/Deep Learning pipelines
  • Drive GPU-accelerated computing strategies, optimizing performance across compute, storage, and networking layers
  • Partner cross-functionally with hardware, algorithms, and product teams to deliver robust, production-ready platforms
  • Establish engineering best practices (code quality, CI/CD, observability, performance tuning) for mission-critical systems
  • Mentor and develop engineers, providing technical guidance, coaching, and growth opportunities for junior team members
  • Serve as a technical leader and decision-maker, influencing architecture and long-term platform strategy

What You Bring

Experience

  • 10+ years in software engineering, including leading and scaling technical teams
  • Proven success building distributed systems in HPC, AI/ML, or cloud-native environments
  • Track record of delivering performance-critical infrastructure at scale
  • Experience mentoring and growing early- and mid-career engineers

Technical Expertise

  • Deep understanding of distributed systems, parallel computing, and Linux systems programming
  • Strong programming skills in C++, Python, or similar systems-level languages
  • Experience with GPU computing (CUDA, ROCm) and modern AI frameworks (PyTorch, TensorFlow, etc.)
  • Familiarity with high-performance storage systems, networking, and data pipelines
  • Strong foundation in CI/CD, DevOps, and production system reliability

Bonus Experience

  • Background in image processing, computer vision, or scientific computing
  • Experience supporting hybrid HPC + AI workloads in production environments

Leadership & Impact

  • Passion for developing talent and building inclusive, high-performing teams
  • Ability to operate as both a hands-on engineer and strategic technical leader
  • Strong communication skills with the ability to influence across engineering and product stakeholders

Why KLA / Why Ann Arbor

  • Work on real-world AI systems at scale, not just experiments
  • Collaborate across hardware, software, and algorithm teams in a deeply technical environment
  • Join a growing engineering presence in Ann Arbor, with access to top talent and a strong technical community
  • Opportunity to shape the direction of AI infrastructure in a core product domain

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 5 years; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 years

Base Pay Range: $151,100.00 - $256,900.00Primary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Apply