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Ai Engineer Intern Jobs in Texas (NOW HIRING)

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global ...

Intern (Flight Ops AI)

Houston, TX · On-site

$16 - $20.75/hr

Flight Operations Technology & AI Intern - Fall 2026 RAVN Aerospace Position Name: Flight ... Working alongside experienced military fighter pilots, aerospace engineers, test professionals ...

FPGA Engineer Intern (Summer 2027 - Austin)

Austin, TX · On-site

$18.75 - $24.75/hr

As an FPGA Engineer Intern, you'll work side-by-side with your mentor and teammates to build real ... Optiver is building with cutting edge AI technology in the most competitive, data rich landscapes ...

FPGA Engineer Intern (Summer 2027 - Austin)

Austin, TX · On-site

$18.75 - $24.75/hr

As an FPGA Engineer Intern, you'll work side-by-side with your mentor and teammates to build real ... Optiver is building with cutting edge AI technology in the most competitive, data rich landscapes ...

Site Reliability Engineer Intern

Dallas, TX · On-site

$56.50 - $75/hr

... Engineer Intern to join our SRE team at our Dallas location. This role is pivotal in ensuring the ... Basic understanding of AI tools and concepts, including the ability to work with AI-assisted ...

Final presentation to business leaders Qorvo's Software Engineering Internships are offered in our ... Configure, deploy, and support AI agents, AI-enabled applications, and machine learning model ...

Final presentation to business leaders Qorvo's Software Engineering Internships are offered in our ... Configure, deploy, and support AI agents, AI-enabled applications, and machine learning model ...

Showing results 21-40

Ai Engineer Intern information

See Texas salary details

$12

$23

$36

How much do ai engineer intern jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai engineer intern in Texas is $23.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $26.88 per hour, depending on experience, location, and employer.

What does an AI Engineer Intern do?

An AI Engineer Intern assists in designing, developing, and testing artificial intelligence models and algorithms under the supervision of experienced engineers. Their tasks may include data preprocessing, building machine learning models, evaluating model performance, and collaborating with cross-functional teams. Interns often work on real-world projects, gaining hands-on experience with AI tools and technologies such as Python, TensorFlow, or PyTorch. The internship provides valuable insight into the AI development lifecycle and helps interns build foundational skills for a career in artificial intelligence.

What are the key skills and qualifications needed to thrive as an AI Engineer Intern?

To thrive as an AI Engineer Intern, you need a solid grounding in computer science fundamentals, programming (especially Python), and a basic understanding of machine learning algorithms, often supported by coursework or personal projects. Familiarity with tools and frameworks like TensorFlow, PyTorch, and Git, as well as experience with data analysis libraries such as NumPy and pandas, is typically expected. Strong problem-solving abilities, curiosity, and effective communication skills help interns stand out when collaborating and learning in fast-paced environments. These skills and qualities are crucial for quickly adapting to technical challenges and contributing meaningfully to AI development projects.

What are some common challenges an AI Engineer Intern might face during their internship?

As an AI Engineer Intern, you may encounter challenges such as adapting to complex codebases, understanding large datasets, and balancing theoretical concepts with practical implementation. It’s common to work on projects where requirements or data may change rapidly, requiring flexibility and problem-solving skills. Additionally, collaborating with cross-functional teams like data scientists or software engineers can be an adjustment, as effective communication is key to integrating AI solutions into broader products.

How much do AI engineer interns make?

AI engineer interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often provide valuable skills in machine learning, programming, and data analysis, and may include stipends or hourly wages aligned with industry standards.

What are the most commonly searched types of Ai Engineer jobs in Texas?

The most popular types of Ai Engineer jobs in Texas are:

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

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

Infographic showing various Ai Engineer Intern job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $49,254 per year, or $23.7 per hour.

Intern - AI Systems and Infrastructure Engineering

Micron

Austin, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago


Key responsibilities

  • Develop and enhance systems software, profiling tools, and experimentation frameworks for AI workloads.

  • Design, implement, and evaluate memory- and state-management techniques for AI serving environments.

  • Characterize and optimize AI workload execution across heterogeneous hardware and infrastructure.


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

The Advanced Systems Research and Engineering team develops innovative hardware and software technologies that enable the next generation of Artificial Intelligence infrastructure. The team collaborates closely with engineering, architecture, product, and research organizations to evaluate emerging AI workloads and drive advancements in memory, storage, interconnects, and distributed computing platforms. Through systems research, prototyping, and performance analysis, the team helps shape future technology roadmaps and industry-leading solutions.

The AI Systems Software Engineering Intern will work alongside senior engineers and researchers on advanced systems software for Large Language Models (LLMs) and Agentic AI applications. This role focuses on characterizing and improving the performance, scalability, and efficiency of AI inference and training workloads across GPU platforms and heterogeneous memory, interconnect, and storage systems. The intern will contribute to profiling, workload characterization, systems optimization, and experimental evaluation, helping drive innovations in AI infrastructure and memory technologies.

Responsibilities
  • Develop and enhance systems software, profiling tools, and experimentation frameworks for LLM training, LLM inference, and Agentic AI workloads.
  • Design, implement, and evaluate memory- and state-management techniques, including caching, tiering, compression, eviction, and lifecycle management for AI serving environments.
  • Characterize and optimize AI workload execution across GPUs, CPUs, memory subsystems, storage, and distributed infrastructure, with a focus on latency, throughput, scalability, and resource utilization.
  • Build benchmarking, simulation, and automation capabilities to evaluate data placement, migration, scheduling, and performance behavior across heterogeneous memory systems.
  • Collaborate with engineering and research teams to develop representative AI workloads, analyze experimental results, and contribute to technical publications, intellectual property, and future platform designs.
Minimum Qualifications
  • Currently pursuing a Master's or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Demonstrated experience with AI systems, machine learning systems, computer systems research, or systems software development through coursework, research, or projects.
  • Understanding of Large Language Models (LLMs), including transformer execution, attention mechanisms, KV cache behavior, batching, token-level latency, throughput, and memory performance considerations.
  • Proficiency in Python and C/C++, with hands-on experience developing, debugging, and optimizing software in Linux environments.
  • Experience using GPU-based performance analysis tools and at least one modern AI framework or serving stack, such as PyTorch, vLLM, TensorRT-LLM, NVIDIA Dynamo, or related technologies.
Preferred Qualifications
  • Experience extending or optimizing LLM runtimes, serving engines, schedulers, or distributed inference frameworks.
  • Hands-on experience implementing advanced KV-cache, memory management, or state-management techniques for long-context or stateful AI applications.
  • Experience with GPU optimization technologies such as CUDA, Triton, NCCL, RDMA, or similar accelerator and communication frameworks.
  • Familiarity with heterogeneous memory architectures, including HBM, DRAM, CXL-attached memory, NVMe storage, pooled memory, or disaggregated memory systems.
  • Evidence of significant technical impact through publications, patents, open-source contributions, or substantial research and engineering projects related to Artificial Intelligence, distributed systems, memory systems, or high-performance computing.

    As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

    Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

    To learn about your right to work click here.

    To learn more about Micron, please visit micron.com/careers

    For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

    Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

    Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

    AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

    Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.


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