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Internship Electrical Engineering Jobs in Spring, TX

ESP Enterprises, Inc.

C/C++ Developer

Houston, TX · On-site

$90K - $100K/yr

Internships, co-op experiences, or personal/academic projects in C/C++ development are highly ... Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related ...

Raytheon

RF Data Link Engineer II

Houston, 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 ...

Tenaris

Engineering Analyst - Houston, TX

Houston, TX · On-site

... internships or co-op experience applicable). * Foundational to intermediate technical knowledge in a specific engineering specialty (mechanical, hydraulic, pneumatic, electrical, or related)

Hp

Tech Marketing & Performance Engineer

Spring, TX

$65K - $101K/yr

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience. * Typically 0-2 years of relevant experience through internships, or ...

DUG

Graduate Geophysicist

Houston, TX · On-site

You will start on an internship basis, but we welcome you to dive right in--as any valued team ... BSc, MSc or PhD in Geophysics, Geoscience, Physics, Maths, Electrical Engineering with a Physics ...

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All JobsElectrical Engineering JobsInternship Electrical Engineering JobsInternship Electrical Engineering Jobs in Spring, TX

Internship Electrical Engineering information

See Spring, TX salary details

$9

$19

$26

How much do internship electrical engineering jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for internship electrical engineering in Spring, TX is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.39 per hour, depending on experience, location, and employer.

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

To thrive as an Electrical Engineering Intern, a solid understanding of electrical circuit theory, problem-solving skills, and progress toward a degree in electrical engineering are essential. Familiarity with industry-standard tools like MATLAB, AutoCAD, and circuit simulation software, as well as basic programming knowledge, is typically required. Strong teamwork, communication, and a willingness to learn help an intern stand out in collaborative engineering environments. These competencies enable interns to contribute effectively to projects, adapt quickly, and gain valuable, practical experience for future growth.

What types of projects and responsibilities can I expect during an Electrical Engineering internship?

As an Electrical Engineering intern, you can expect to work on a variety of projects such as circuit design, product testing, data analysis, and assisting with the development of prototypes. You'll often support senior engineers on larger projects while also having opportunities to take ownership of smaller tasks. Typical daily responsibilities might include drafting schematics, conducting experiments in the lab, troubleshooting hardware, and documenting results. Interns usually collaborate closely with multidisciplinary teams, gaining valuable exposure to both engineering best practices and cross-functional teamwork.

What are internship electrical engineering positions?

Internship electrical engineering positions are temporary roles designed for students or recent graduates to gain hands-on experience in the field of electrical engineering. These internships typically involve assisting with designing, testing, and analyzing electrical systems and components under the supervision of experienced engineers. Interns gain practical knowledge, industry exposure, and professional networking opportunities, which can be valuable for future employment. These positions are often offered by companies in industries such as electronics, energy, telecommunications, and manufacturing.

Can you make $500,000 as an electrical engineer?

Electrical engineering internships typically do not pay salaries close to $500,000, as such high earnings are usually associated with senior-level positions, specialized roles, or entrepreneurial ventures. Entry-level internships generally offer modest stipends or hourly wages, and earning potential increases with experience, advanced skills, and certifications like PE or PMP. Achieving a $500,000 income as an electrical engineer would require significant career advancement and possibly leadership or consulting roles in high-demand industries.

Which internship is best for electrical engineering students?

The best internship for electrical engineering students typically involves roles in power systems, electronics, or embedded systems, offering hands-on experience with circuit design, testing, and industry-standard tools like MATLAB or AutoCAD. Internships at reputable companies or research institutions that provide mentorship and exposure to real-world projects are highly valuable for skill development and career growth.

Do electrical engineer interns get paid?

Electrical engineering interns typically receive compensation, which can include hourly wages or stipends, depending on the company and location. Paid internships are common in the industry and often require basic skills in circuit design, programming, or testing. Unpaid internships are less common but may be offered for academic credit or specific training programs.

What is the difference between Internship Electrical Engineering vs Electrical Engineer?

AspectInternship Electrical EngineeringElectrical Engineer
Required CredentialsTypically pursuing or recently completed a degree in electrical engineeringBachelor's degree in electrical engineering or related field
Work EnvironmentTemporary, training-focused, often in labs or project sitesFull-time, professional setting, including offices, labs, or field sites
Employer & Industry UsageInternships offered by companies for training and evaluationFull-fledged roles in industries like power, electronics, or telecommunications
Common Search & Comparison IntentUnderstanding entry-level opportunities and training rolesSeeking full-time electrical engineering careers

In summary, an Internship Electrical Engineering is a temporary, training-focused position for students or recent graduates, whereas an Electrical Engineer is a full-time professional role requiring a degree and offering ongoing responsibilities in the electrical industry.

What do you do as an electrical engineering intern?

An electrical engineering intern assists with designing, testing, and analyzing electrical systems and components under supervision. They may work on circuit design, troubleshooting, and documentation using tools like CAD software and oscilloscopes. The role provides hands-on experience and often involves supporting ongoing projects in a professional engineering environment.
What are the most commonly searched types of Electrical Engineering jobs in Spring, TX? The most popular types of Electrical Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Internship Electrical Engineering jobs? Cities near Spring, TX with the most Internship Electrical Engineering job openings:
Internship Electrical Engineering jobs near you

Machine Learning/Deep Learning Engineer(PhD, New Grad)

Bot Auto

Houston, TX • On-site

Full-time

Posted 12 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including object detection, tracking, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
Qualifications
Required:
  • Education: An advanced degree (Master's or Ph.D., including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • Core Knowledge: Strong theoretical foundation in machine learning, deep learning, and computer vision, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred (Targeted Research & Background):
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • 3D Computer Vision / Bird's-Eye-View (BEV) Perception
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A proven track record of research publications in top-tier machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS) as a primary contributor.
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs is highly desirable.

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