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Ai Infrastructure Jobs in Spring, TX (NOW HIRING)

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

ON.energy is building the backbone of energy and AI infrastructure powering grid-safe data centers and mission-critical facilities. The company supplies and operates hyperscale power systems that ...

About Submer Submer designs and delivers end-to-end AI datacenter infrastructure built on a strong legacy in industry-leading liquid cooling. We help organizations scale AI beyond the limits of ...

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Ai Infrastructure information

See Spring, TX salary details

$25

$52

$77

How much do ai infrastructure jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai infrastructure in Spring, TX is $52.67, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $61.39 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What are popular job titles related to Ai Infrastructure jobs in Spring, TX?

For Ai Infrastructure jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Ai Infrastructure jobs in Spring, TX look for?

The top searched job categories for Ai Infrastructure jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Infrastructure jobs?

Cities near Spring, TX with the most Ai Infrastructure job openings:

Infographic showing various Ai Infrastructure job openings in Spring, TX as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $109,548 per year, or $52.7 per hour.

Global NVIDIA Solutions Enablement Manager

Hewlett Packard Enterprise

Spring, TX • Remote

Full-time

Posted 9 days ago


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 160 rated electronics manufacturers


Job description

Global NVIDIA Solutions Enablement ManagerThis role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

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 Global NVIDIA Solutions Enablement Lead is part of the worldwide HPE NVIDIA Alliance team. This role is responsible for building and delivering global enablement programs that help HPE sales, presales, technical, business development, and channel partner teams successfully position HPE solutions that include NVIDIA technologies.

This is an individual contributor role with global scope. The role supports the full HPE NVIDIA portfolio, with primary focus on GPU-based solutions, NVIDIA reference architectures, AI infrastructure, NVIDIA software, networking, and related solution attach motions.

Management Level Definition

Applies advanced subject matter knowledge to solve complex business and technical enablement challenges. Works independently, exercises strong judgment, and leads cross-functional initiatives across regions, business units, sales teams, partner organizations, and external stakeholders.

What you'll do

  • Build and execute a global NVIDIA solutions enablement strategy for HPE and channel partner teams.
  • Lead end-to-end program management of global enablement initiatives, including planning, governance, stakeholder alignment, execution, communications, and measurement of outcomes.
  • Deliver training, workshops, bootcamps, and field enablement sessions for sales, presales, technical, and partner audiences.
  • Coordinate HPE and NVIDIA subject matter experts to support scalable enablement across priority solution areas.
  • Create, manage, and maintain training content, enablement curricula, learning paths, workshops, playbooks, and field-ready assets to support sales, technical, and partner audiences globally.
  • Support HPE enablement platforms and communities, including Tech Pro, SalesPro, and related field resources.
  • Help teams position HPE NVIDIA solutions across GPUs, reference architectures, AI infrastructure, software, networking, and attach opportunities.
  • Gather field feedback to identify enablement gaps, content needs, and areas requiring deeper technical or commercial support.
  • Track and communicate enablement adoption, field engagement, business impact, and solution attach trends where measurable.
  • Manage cross-functional project plans, milestones, risks, dependencies, and executive communications across global stakeholders to ensure successful delivery of strategic enablement programs.

What you need to bring (Requirements):

  • 10+ years of experience in program management, sales enablement, technical enablement, alliance management, partner enablement, presales, business development, product management, or related enterprise technology roles.
  • 5+ years of experience designing, building, and delivering global enablement programs for sales, technical, and partner audiences.
  • 5+ years of experience leading complex cross-functional programs involving multiple stakeholders, business units, geographies, and external partners.
  • 3+ years of experience creating training content, learning paths, enablement assets, workshops, sales plays, and field-facing educational materials.
  • 3+ years of experience supporting AI infrastructure, accelerated compute, enterprise servers, GPUs, networking, software, cloud, or data center solutions.
  • Strong understanding of enterprise technology sales motions, partner ecosystems, and field activation.
  • Ability to translate complex technical topics into practical sales and partner enablement.
  • Experience with NVIDIA technologies, GPU-based platforms, AI reference architectures, or accelerated computing solutions strongly preferred.
  • Strong program and project management expertise, including planning, prioritization, governance, risk management, execution, and performance measurement.
  • Strong communication, presentation, executive engagement, and stakeholder management skills.
  • Ability to influence globally across matrixed teams without direct authority.

Additional SkillsAlliance Management, AI Infrastructure, Business Planning, Change Management, Channel Enablement, Content Development, Cross-Functional Leadership, Executive Communications, Field Enablement, GPU Solutions, NVIDIA Technologies, Partner Enablement, Presales Enablement,Program Management, Project Management, Reference Architectures, Sales Enablement, Stakeholder Management, Strategic Planning, Solution Positioning, Technical Enablement, Training Development, Learning Path Design, Workshop Facilitation.

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

Job:

Learning & Development

Job Level:

Master"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 105,500 - 243,000 in Texas
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

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.


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