ZipRecruiter

Log In

1

Computer Engineering Internship Jobs in Terrell, TX

Capgemini Engineering

Mechanical Engineer

Dallas, TX · On-site

$54K - $130K/yr

... internships count). * Proficiency in CAD software (On-shape - preferred, SolidWorks, Creo, or ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Danaher

Software Automation Internships

Dallas, TX · On-site

... Engineering, Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing ...

Micron

SOC Formal Verification Engineer, HBM

Richardson, TX · On-site

$123K - $150K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... or internships. * Exposure to formal verification tools such as JasperGold, VC Formal, Questa ...

Raytheon

RF Data Link Engineer II

Dallas, TX

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Master's degree in electrical engineering or computer engineering with a focus in digital ...

next page

Showing results 1-20

All JobsComputer Engineering JobsComputer Engineering Internship JobsComputer Engineering Internship Jobs in Terrell, TX

Computer Engineering Internship information

See Terrell, TX salary details

$9

$17

$26

How much do computer engineering internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for computer engineering internship in Terrell, TX is $17.01, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.41 per hour, depending on experience, location, and employer.

What is the difference between Computer Engineering Internship vs Software Engineering Internship?

AspectComputer Engineering InternshipSoftware Engineering Internship
Required CredentialsTypically pursuing or completed a degree in computer engineering, electrical engineering, or related fieldsUsually pursuing or completed a degree in computer science, software engineering, or related fields
Work EnvironmentHardware labs, embedded systems, firmware development, and hardware-software integrationApplication development, coding, testing, and software design in office or remote settings
Employer & Industry UsageTech companies, hardware manufacturers, embedded systems firmsSoftware companies, tech startups, IT departments
Common Search & Comparison IntentUnderstanding internship roles involving hardware and embedded systemsExploring software development internship opportunities

Computer Engineering Internships focus on hardware, embedded systems, and firmware, while Software Engineering Internships emphasize coding, application development, and software design. Both roles are valuable entry points in tech but cater to different skill sets and industry areas.

What is a Computer Engineering Internship?

A Computer Engineering Internship is a temporary position designed for students or recent graduates to gain hands-on experience in the field of computer engineering. Interns typically work alongside experienced engineers on projects involving hardware, software, or systems integration. These internships provide practical exposure to real-world engineering challenges, enhance technical skills, and help interns build a professional network. They are often a stepping stone to full-time employment in the technology industry.

What are the key skills and qualifications needed to thrive as a Computer Engineering Intern, and why are they important?

To thrive as a Computer Engineering Intern, you need a solid understanding of computer hardware, software development, and programming languages like C/C++, Java, or Python, often supported by progress toward a relevant degree. Familiarity with version control systems (e.g., Git), debugging tools, and possibly coursework or certification in embedded systems or networking is beneficial. Strong problem-solving abilities, willingness to learn, and effective teamwork and communication skills help interns stand out. These skills enable you to contribute to technical projects, adapt quickly in a dynamic environment, and collaborate successfully with engineering teams.

What types of projects can I expect to work on during a Computer Engineering Internship?

During a Computer Engineering Internship, you can expect to work on a variety of hands-on projects such as developing embedded systems, assisting with hardware testing, or writing and debugging code for software applications. Interns often collaborate with cross-functional teams, including hardware engineers and software developers, to contribute to real-world product development. These projects are designed to provide practical experience, enhance your technical skills, and help you understand the workflow within a professional engineering environment. You may also have opportunities to present your work and receive feedback from experienced mentors.
What cities near Terrell, TX are hiring for Computer Engineering Internship jobs? Cities near Terrell, TX with the most Computer Engineering Internship job openings:
Computer Engineering Internship jobs near you
AI/ML Systems Engineer, (2026 New College Graduate)

AI/ML Systems Engineer, (2026 New College Graduate)

GlobalFoundries

Richardson, TX • On-site

Full-time

Posted 22 days ago

GlobalFoundries rating

8.2

Company rating: 8.2 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

84th of 527 rated manufacturers

Job description

AI/ML Systems Engineer
About GlobalFoundries
GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets.
New College Graduates Overview:
We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.
Summary of Role:
We are seeking an early-career AI/ML Systems Engineer to deepen our workload analysis and performance modeling capabilities. You will take ownership of workload characterization and hardware mapping studies, contribute to cross-functional architecture discussions, and help define the team's methodology for estimating and validating performance KPIs. This is a high-impact role for someone who wants to sit at the intersection of machine learning, computer architecture, and systems optimization.
Essential Responsibilities include:
  • You will independently study AI/ML workloads across the inference and training stack - including CNNs, transformers, recurrent architectures, and emerging model classes - and build quantitative models of their behavior on real and projected hardware. This includes identifying compute, memory bandwidth, and power bottlenecks using techniques like roofline analysis, operational intensity profiling, and bottleneck decomposition.
  • You will work closely with SoC and IP architecture teams to map workload demands to hardware capabilities and feed your findings into discussions around design tradeoffs, ISA extensions, memory subsystem sizing, and on-chip vs. off-chip bandwidth allocation. On the software side, you will engage with compiler and runtime teams to identify where kernel optimization, scheduling, or memory layout changes can close performance gaps.
  • A significant part of the role involves estimation and modeling before silicon is available - building spreadsheet or code-based models that project achievable throughput, latency, and efficiency for candidate architectures, then validating those models against silicon or simulation data.
  • You will communicate findings through written reports, presentations, and design review participation. Clarity and rigor in your technical communication are as important as the analysis itself.

Other Responsibilities:
  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
  • Exposure to AI compiler toolchains is preferred. Familiarity with MLIR, IREE, TVM, or similar compilation infrastructure - even at a conceptual level - will help you engage productively with compiler and runtime engineers and understand how graph-level and kernel-level transformations affect the workloads you analyze.
  • Experience defining or refining performance KPI frameworks, prior work on edge or mobile SoC workload characterization, hands-on experimentation with MLIR or IREE compilation pipelines, and knowledge of RISC-V architecture and Vector/Matrix extensions is a strong plus.

Required Qualifications:
  • Education - Graduating with Bachelor's or Master's in Electrical, Computer Engineering, Computer Science or related field from an accredited degree program. With 0-2 years of relevant industry experience in systems engineering, hardware architecture, ML infrastructure, or performance engineering.
  • Must have at least an overall 3.0 GPA and proven good academic standing.
  • Language Fluency - English (Written & Verbal)

Preferred Qualifications:
  • Prior related internship or co-op experience.
  • Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
  • Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.
  • Strong written and verbal communication skills
  • Strong planning & organizational skills
  • Strong mathematical reasoning is a firm requirement. You should be able to construct and manipulate analytical performance models from first principles, deriving bandwidth utilization bounds, reasoning about arithmetic intensity across operator types, estimating latency under queuing or pipeline constraints, and interpreting numerical precision effects on model accuracy and hardware efficiency.
  • The ability to move fluidly between mathematical formulation and engineering intuition is central to doing this job well.
  • You are comfortable writing analysis code in Python and can build clean, reproducible models. You communicate technical results well in both written and spoken form, and you can hold your own in architecture discussions with specialists on either the hardware or software side.

#NCGProgramUS
This is a 100% in-office role (Dallas)
Expected Salary Range
$72,000.00 - $124,800.00
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

What GlobalFoundries employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply