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Ai Test Engineer Jobs in Texas (NOW HIRING)

Systems Test Engineer

Spring, TX · On-site

$106 - $243/hr

Summary The HPC Integrated Systems Test team validates complex HPE HPC & AI solutions before ... The engineer plays a key role in validating complex integrated systems before release, helping ...

Navy electrical engineers with deep experience in robotics and software, ACS brings together AI ... Position Overview As a Test Engineer , your primary mission is to own product acceptance and end-of ...

SLT Test Engineer

Austin, TX · On-site

$96K/yr

Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market ... Improve test methodologies, automation, and engineering tools to increase operational efficiency.

SLT Test Engineer

Austin, TX · On-site

$110 - $150/hr

Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market ... Improve test methodologies, automation, and engineering tools to increase operational efficiency.

SLT Test Engineer

Austin, TX · On-site

$90 - $130/hr

Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market ... Improve test methodologies, automation, and engineering tools to increase operational efficiency.

Showing results 41-60

Ai Test Engineer information

See Texas salary details

$16

$41

$69

How much do ai test engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai test engineer in Texas is $41.22, according to ZipRecruiter salary data. Most workers in this role earn between $31.15 and $48.85 per hour, depending on experience, location, and employer.

What is an AI test engineer?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are the key skills and qualifications needed to thrive as an AI test engineer?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.

What are some common challenges AI test engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

How do I become an AI Test Engineer?

To become an AI Test Engineer, candidates typically need a strong background in computer science, software testing, or related fields, along with knowledge of AI and machine learning concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model evaluation are essential. Earning relevant certifications and gaining experience in software development and testing environments can also improve job prospects.

What are popular job titles related to Ai Test Engineer jobs in Texas?

For Ai Test Engineer jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Ai Test Engineer jobs?

Cities in Texas with the most Ai Test Engineer job openings:

Infographic showing various Ai Test Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $85,737 per year, or $41.2 per hour.

Full-time

Posted 8 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

35th of 161 rated electronics manufacturers


Job description

Systems Test EngineerThis role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

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:

Job Description Summary
The HPC Integrated Systems Test team validates complex HPE HPC & AI solutions before release, helping ensure that customers receive reliable, high-quality systems. This TCP-03 role is for an experienced systems engineer who can design and execute test strategies across integrated hardware, software, networking, storage, firmware, operating systems, and management interfaces. IST tests rack-scale, accelerator, interconnect, memory, power, thermal, and large-scale systems with supercomputing complexity. The engineer works closely with cross-functional development, program, product, and vendor teams to identify issues early, support root-cause analysis, and drive problems to resolution.

Role Impact

This role supports HPE's work on leading-edge AI hardware and advanced HPC technologies that enable the next generation of AI development and applications. The engineer plays a key role in validating complex integrated systems before release, helping identify product issues that could affect customer uptime, reliability, and overall experience.

By strengthening test coverage, improving release readiness, and working effectively across engineering, program, product, vendor, and global test teams, this role directly contributes to the quality and success of HPE's HPC & AI product portfolio.

About You

  • You are a hands-on systems engineer who enjoys solving complex integration problems across hardware, software, firmware, operating systems, networking, and storage.
  • You are motivated by working on leading-edge AI hardware and HPC technologies that support next-generation AI development and applications.
  • You understand the importance of validating complex integrated systems before release to help protect customer uptime, reliability, and overall experience.
  • You look for opportunities to identify product issues early, strengthen test coverage, improve automation, and increase release readiness.
  • You work effectively across engineering, program, product, vendor, and global test teams to drive issues to resolution.
  • You communicate clearly about technical issues, risks, status, and recommendations with both technical teams and leadership.
  • Must be a US Citizen

Knowledge and Skills

  • Hands-on experience with HPE HPC & AI platforms, including EX, XD, Apollo, Industry Standard Server, storage, and networking products.
  • Strong working knowledge of Linux operating systems, including Red Hat, SLES, Ubuntu, and related certification or validation processes.
  • Understanding of hardware and software interactions in complex server, storage, networking, and integrated systems environments.
  • Experience developing, executing, and improving test strategies for complex product releases.
  • Strong troubleshooting and debugging skills for complex issues in collaboration with engineering, product, and test teams.
  • Familiarity with automated test execution, test tools, and validation frameworks.
  • Ability to manage multiple priorities in a fast-moving product development environment.
  • Ability to work effectively in a global, culturally diverse engineering team.
  • Strong written and verbal communication skills, with the ability to effectively communicate technical concepts, issues, and recommendations.
  • Bash scripting experience required to support system test execution and troubleshooting.
  • Python experience preferred for test support, log analysis, and validation efficiency improvements.
  • Knowledge of Redfish commands, RESTful APIs, and JSON is a plus.

Responsibilities

  • Validate complex system configurations across servers, accelerators, storage, networking, firmware, operating systems, and management interfaces used in AI and HPC environments.
  • Translate product requirements and feature changes into validation strategies that improve test coverage, identify integration risks early, and provide clear release-readiness feedback to engineering and program teams.
  • Analyze, debug, and drive resolution of issues discovered during integrated systems testing.
  • Support Linux OS certification and submission activities with vendors such as Red Hat, SUSE, and Ubuntu.
  • Execute testing in local and remote lab environments and coordinate automated test execution across global teams.
  • Partner with product development, program management, product management, technical leads, and third-party vendors to resolve development and release issues.
  • Use test tools, automation support, and process improvements to improve validation efficiency for current and next-generation HPE HPC products.
  • Communicate with management and development partners on system requirements, test plan status, project progress, risks, and issue resolution.
  • Train, guide, and support onshore and offshore test teams in test setup, execution, and result triage.
  • Mentor less-experienced staff members and contribute to overall team capability.

Education and Experience Required

  • Bachelor's or master's degree in either Computer Engineering, Computer Science, Electrical Engineering, or an equivalent technical field.
  • Minimum 6 years of relevant experience in systems engineering, software engineering, test engineering, platform validation, or related technical roles.

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#highperformancecompute

Job:

Engineering

Job Level:

TCP_03"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 106,000 - 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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