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Embedded Machine Learning Internship Jobs in Manvel, TX

Knowledge of Artificial Intelligence and/or Machine Learning * Experience with safety-critical, human-rated embedded software development * Experience with Object oriented software development

Knowledge of Artificial Intelligence and/or Machine Learning * Experience with safety-critical, human-rated embedded software development * Experience with Object oriented software development

Knowledge of Artificial Intelligence and/or Machine Learning * Experience with safety-critical, human-rated embedded software development * Experience with Object oriented software development

Manage the development of statistic based on big data and machine learning models for predicting ... Strong knowledge of embedded control software development process and documentation for safety ...

Knowledge of Artificial Intelligence and/or Machine Learning * Experience with safety-critical, human-rated embedded software development * Experience with Object oriented software development

Entry Level Technologist

Houston, TX ยท On-site

$24.25 - $33.50/hr

Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ... A growth mindset demonstrated through your coursework, internships, side projects, leadership roles ...

Knowledge of Artificial Intelligence and/or Machine Learning. * Experience with safety-critical, human-rated embedded software development. * Experience with Object oriented software development.

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Embedded Machine Learning Internship information

See Manvel, TX salary details

$24K

$40.1K

$82.8K

How much do embedded machine learning internship jobs pay per year?

As of Jun 27, 2026, the average yearly pay for embedded machine learning internship in Manvel, TX is $40,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,300.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
What cities near Manvel, TX are hiring for Embedded Machine Learning Internship jobs? Cities near Manvel, TX with the most Embedded Machine Learning Internship job openings:
Infographic showing various Embedded Machine Learning Internship job openings in Manvel, TX as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $40,062 per year, or $19.3 per hour.
Orion GN&C Engineer

Orion GN&C Engineer

Mclaurin Aerospace

Houston, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you!

We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA's pursuits in deep space exploration.

We have an exciting opportunity for anย Orion GN&C Engineer to join our JETS II contract team at NASA Johnson Space Center in Houston, TX.

If selected you will:

  • Develop and evaluate safety-critical, human rated GN&C flight software
  • Develop, integrate, and test new GN&C algorithms
  • Develop, integrate, and test new algorithms for evaluation of vehicle and mission performance
  • Develop, integrate, and test new algorithms for trajectory optimizations
  • Provide recommendations for improvements in design and software development processes
  • Perform other duties as required

Qualifications:

This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised.

  • Typically requires a bachelor's degree in Engineering and a minimum of 1 year of experience in the field or in a related area.
  • Experience with Kalman filters
  • Experience with development of modeling spacecraft systems performance
  • Knowledge in the development of GN&C algorithms and spacecraft system analysis
  • Experience with development and analysis of 6 DOF algorithms and simulations
  • Experience with orbital mechanics and GN&C principles
  • Experience with design, verification, testing, and operation of GN&C software
  • Experience with LINUX, Python, MATLAB, Simulink, and C/C++
  • Experience with Git/GitLab version control
  • Experience with the development of space system requirements and documents
  • Ability to organize and prioritize tasks to meet deadlines and schedules with limited supervision.
  • Excellent communication, documentation, and presentation skills
  • Ability to work in a team environment consisting of NASA civil servants and contractor employees.
  • Experience with Microsoft Office products

Preferred Qualifications:

  • Knowledge of Artificial Intelligence and/or Machine Learning
  • Experience with safety-critical, human-rated embedded software development
  • Experience with Object oriented software development
  • Experience with Agile software development
  • Experience with spacecraft rendezvous, proximity operations, and docking
  • Familiarity with spacecraft docking systems.
  • Working knowledge of NASA, JSC, and ISS standard practices and requirements (including safety)
  • Experience with NASA flight operations and procedures
  • Familiarity with NASA/JSC documentation databases and SharePoint sites
  • Experience with the NASA Trick simulation architecture and JEOD (JSC Engineering Orbital Dynamics)

Benefits

  • Competitive pay
  • Positive work-life balance
  • 100% Employer paid insurance including: Medical, dental, vision, life insurance, accidental death and dismemberment, short-term disability, and long-term disability
  • 11 paid holidays annually
  • Generous PTO
  • 401k after 12 months of service with employer match
  • Education assistance
  • Relocation assistance (if applicable)

Mclaurin is a unique organization with a special focus on combining the best features of research and industry in order to foster innovation. Our organization strongly supports research, publication, and engagement with the academic community. We encourage our employees to remain on the cutting edge of new developments in their respective disciplines.

US Citizenship and the ability to pass a comprehensive security background investigation is required.

Mclaurin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.