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Hpc Ai Jobs (NOW HIRING)

MEP Design Engineer - HPC/AI Data Centers

Houston, TX ยท On-site

$192K/yr

What impact you will have We are seeking an MEP Design Engineer - HPC/AI Data Centers to lead the full Mechanical, Electrical, and Plumbing (MEP) design and delivery of high-performance computing ...

Senior HPC AI Cluster Engineer

Santa Clara, CA ยท On-site

$122K - $168K/yr

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking ...

Senior HPC AI Cluster Engineer

OR ยท On-site +1

$104K - $143K/yr

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking ...

Senior HPC AI Cluster Engineer

Santa Clara, CA ยท On-site

$122K - $168K/yr

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking ...

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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.

What is an HPC AI?

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?

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.

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.
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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:

Infographic showing various Hpc Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

MEP Design Engineer - HPC/AI Data Centers

SUBMER

Houston, TX โ€ข On-site

$192K/yr

Full-time

Medical, Retirement

Re-posted 22 days ago


Key responsibilities

  • Lead the full Mechanical, Electrical, and Plumbing (MEP) design and delivery of high-performance computing (HPC) and AI data centers.

  • Design electrical systems including MV/LV distribution, switchboards, transformers, PDUs, grounding, protection, BESS, UPS, and generators.

  • Oversee mechanical systems focused on high-density liquid cooling, airflow management, and redundancy for 100+ kW racks.


Job description

About Submer

Submer designs and delivers end-to-end AI datacenter infrastructure built around industry-leading liquid cooling.

We help organizations scale AI beyond the limits of traditional datacenters by enabling higher density, greater efficiency and lower environmental impact - accelerating time-to-AI from first deployment to full production.

What impact you will have

We are seeking an MEP Design Engineer - HPC/AI Data Centers to lead the full Mechanical, Electrical, and Plumbing (MEP) design and delivery of high-performance computing (HPC) and AI data centers. This role owns the integrated MEP architecture for large-scale (100-300 MW) facilities and modular data center (MDC) deployments that scale into 50-300 MW HPC/AI sites. You will ensure seamless coordination across mechanical, electrical, and plumbing systems to support next-generation GPU clusters, with a strong emphasis on NVIDIA Grace Blackwell (GB300) and Vera Rubin (VR200) reference architectures.

This is a hands-on technical leadership position ideal for an engineer who can own end-to-end MEP design for mission-critical, high-density environments.

What you'll do

  • Lead the holistic MEP design, specification, and optimization for hyperscale and modular HPC/AI data centers, ensuring integrated performance, reliability, efficiency, and scalability.
  • Design electrical systems including MV/LV distribution, switchboards, overhead busways, circuit breakers, transformers (ML/VL), PDUs, grounding, protection, BESS, UPS, and generators.
  • Oversee mechanical systems focused on high-density liquid cooling (direct-to-chip, immersion, CDUs, in-row/in-rack solutions), CRAC/CRAH, heat rejection, airflow management, and redundancy for 100+ kW racks.
  • Manage plumbing and fluid systems, including coolant distribution, primary/secondary cooling loops, leak detection, piping, pumps, filtration, and integration with facility water systems or closed-loop designs.
  • Architect modular data center solutions (1-2 MW containers/pods) that efficiently aggregate into largerย 50-300 MWHPC/AI sites, emphasizing standardization, rapid deployment, and future-proofing.
  • Deliver MEP designs tailored to NVIDIA GB300 (Grace Blackwell) and VR200 (Vera Rubin) Superpod/reference architectures, addressing rack power (~120 kW+), liquid cooling manifolds, power smoothing, high-current delivery, and thermal management requirements.
  • Perform system-level studies (power, thermal, hydraulic, CFD) and ensure compliance with NEC, NFPA, ASHRAE, IEEE, Uptime Institute, and local codes.
  • Collaborate with architecture, structural, IT, and construction teams throughout design, procurement, construction, commissioning, and handover phases.
  • Optimize for energy efficiency, sustainability, capacity planning, fault tolerance, and total cost of ownership in AI factory environments.
  • Develop standards,ย create and reviewย drawings/specifications, troubleshoot issues, and mentor junior MEP engineers.
  • Create internal and customer-facing MEP specifications and explain/discuss with technical and non-technical customers.

What you'll need

  • Bachelor's degree (Master's preferred) in Mechanical Engineering, Electrical Engineering, or a related MEP-focused discipline. PE license strongly preferred.
  • 5+ yearsย of progressive experience in MEP engineering for mission-critical facilities, withย at least 3-5 yearsย in large-scale data centers or equivalent high-density environments.
  • Demonstrated ability toย design complete HPC/AI data centers across all three MEP disciplinesย (Mechanical, Electrical, Plumbing/Cooling).
  • Proven track recordย with HPC/AI data centers atย 100-300 MWย scale andย modular deploymentsย (1-2 MW units scaling toย 50-300 MWย sites).
  • Strong knowledge of NVIDIAย Grace Blackwell (GB300)ย andย Vera Rubin (VR200)ย architectures, including integrated power, cooling, and fluid system requirements.
  • Expertise in high-density liquid cooling,ย Grid-to-Rack power distribution, all MEP equipment in single-line power specification, 13.8kV/34.5kV to IT white spaces with 480V AC and/or ย 800V DC power distribution, BESS integration,ย MV/LV power distribution, busways, and critical infrastructure redundancy (N+1, 2N, etc.).ย 
  • Proficiency with relevant design and analysis tools (e.g., ETAP, Revit, AutoCAD, CFD, SKM).
  • Excellent leadership, communication, and cross-disciplinary collaboration skills.
Preferred Qualifications
  • Experience with 800V DC architectures, advanced power smoothing, and sustainable cooling technologies.
  • Experience with modular data center design, structural integrity, and shipping/logistics of MDCs.
  • Background at hyperscale operators, AI infrastructure providers, or modular data center projects.
  • Familiarity with TIA-942, ASHRAE TC 9.9, and high-performance computing facility standards.
  • Prior involvement in full lifecycle projects from concept through commissioning and operations.

What we offer

  • Attractive compensation package reflecting your expertise and experience.

  • Medical Insurance Plan.

  • 401k Employee volunteer contribution Plan.

  • A great work environment characterized by friendliness, international diversity, flexibility, and a hybrid-friendly approach.

  • Youll be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution.

Our job titles may span more than one job level. The actual base pay is dependent on a number of factors, such as transferable skills, work experience, business needs and market demands.

Our inclusive responsibility

Submer is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.

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