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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

Cyber Manager - AI SOC

Houston, TX

$106K - $143K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this embedded, client-facing role, you will work directly with client stakeholders to understand ...

What's Next After the Internship Topperforming interns may be invited back-or offered a fulltime ... Practical experience with geoscience coding, data science, and/or machine learning. Compensation ...

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

... Machine Learning, or Data Visualization. Work Experience * Required: Experience developing reports, dashboards, or data visualization through academic projects, internships, or professional ...

Software Engineer II

Houston, TX

$93K - $127K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Ability to obtain ...

Software Engineer II

Houston, TX

$93K - $127K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

Senior Counsel - EPC Transformation

Houston, TX · On-site

$130K - $176K/yr

Support our EPC transformation by serving as the embedded legal advisor on autonomous robotics ... Strong understanding of machine learning and artificial intelligence. Ability to translate highly ...

Senior Counsel - EPC Transformation

Houston, TX · On-site +1

$133K - $181K/yr

Support our EPC transformation by serving as the embedded legal advisor on autonomous robotics ... Strong understanding of machine learning and artificial intelligence. Ability to translate highly ...

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

Showing results 41-60

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 Aug 7, 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 2% Internship, 14% Full Time, 80% Part Time, 3% Temporary, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $40,062 per year, or $19.3 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

MRI Technologies has an exciting opportunity for an Orion Guidance, Navigation, and Control (GN&C) Engineer on the JETS II contract at NASA Johnson Space Center. In this role, you will develop and evaluate safety-critical, human-rated GN&C flight software for NASA's Orion spacecraft, supporting the Artemis Program and future crewed deep space missions. You will be embedded with a collaborative team of engineers at the forefront of human spaceflight technology development.

A typical day involves developing and testing GN&C algorithms in MATLAB and Simulink, collaborating with NASA civil servants to refine flight software requirements, and reviewing simulation results from 6 DOF analysis tools. In the morning you may be updating orbital mechanics models or authoring requirements documentation; in the afternoon you could be integrating new trajectory optimization algorithms or presenting analysis findings to the project team. The work is intellectually challenging, mission-critical, and directly tied to sending astronauts safely beyond Earth orbit.

What We Are Looking For

Requirements:

  • Bachelor's degree in Engineering or a related field, with a minimum of 1 year of experience in the field or 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
  • Proficiency with Microsoft Office products

Preferences:

  • 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)

This position has been posted at multiple levels. Depending on your experience and business needs, we may consider candidates at any level for which the position has been advertised.

Benefits and Perks

We offer a comprehensive benefits package including medical, dental, vision, company paid life and disability insurance, paid time off, and 401(k). You'll also enjoy a 9/80 work schedule (every other Friday off, when applicable), an onsite cafeteria, and strong career development opportunities working alongside NASA's human spaceflight teams.

Proof of U.S. Citizenship or U.S. Permanent Residency is a requirement for this position. Must be able to complete a U.S. government background investigation.

MRI Technologies 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, or protected veteran status.


As we are a Federal Contractor, most positions require the employee to obtain and maintain a U.S. Government background investigation. MRI also completes a pre-screening background check for anyone offered employment.