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Embedded Machine Learning Internship Jobs in Connecticut

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Embedded Machine Learning Internship information

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 are popular job titles related to Embedded Machine Learning Internship jobs in Connecticut? For Embedded Machine Learning Internship jobs in Connecticut, the most frequently searched job titles are:
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Embedded Software Engineer Staff/Autonomy/AI/Machine Learning

Embedded Software Engineer Staff/Autonomy/AI/Machine Learning

Lockheed Martin

Stratford, CT • On-site

$136K - $179K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 384 frontline employees who took The Breakroom Quiz

30th of 60 rated aerospace companies


Job description


WHAT WE'RE DOING
Define the future of aviation. Stand at the forefront of technology and innovation. Transform your ideas and dreams into reality. Join Lockheed Martin's Flight Controls and Autonomy team and be part of the greatest transformation in aviation history; unmanned fully autonomous flight.
The Flight Controls and Autonomy team is currently seeking highly motivated technology pioneers with a desire to steer and lead the Autonomy industry. Successful candidates must be willing and able to work on highly complex complicated problems, leading to world-changing technological breakthroughs.
The team's technical areas of emphasis include Fly-By-Wire Flight Control Systems, Guidance/Navigation & Control (GNC), Flight Test, Autonomy, Aviation Robotics, Perception, AI, and Motion Planning.
THE WORK
In this position the Engineer will be responsible for the design, analysis, optimization, lab testing and system level integration of software and firmware. Perform the development, review, integration, and test of software and firmware to be deployed on Unmanned Aircraft Systems (UAS), including navigation, control systems, communications, perception, and autonomous capabilities. Responsibilities may include the design, and support testing of embedded software in a lab facility, including integration with peripheral equipment including motor controllers, power regulation systems, battery control, and sensors.
Please Note: US citizenship required as most programs and projects assigned are ITAR restricted.
WHO YOU ARE
You have the ability to rapidly develop embedded software and firmware and transition them to flight test. You can collaborate with other researchers and engineers across the autonomy and flight controls team. You can support various programs to develop autonomy including software development, test, system integration and flight tests. The candidate shall have strong coding skills in C/C++, Python, and MATLAB.
This position is based in Stratford, CT.
WHY JOIN US
This role offers a unique blend of autonomy, strategic influence, and technical expertise, allowing you to make a lasting impact on our operations and advance your career as a technology leader.
Basic Qualifications
• Bachelor's degree in one of the following disciplines: Computer Science, Computer Engineering, Robotics Engineering, Electrical Engineering
• 6 or more years of software engineer experience
• Experience with embedded software programming and hands-on expertise of programming languages such as C, C++ and Python
• Experience with modern software engineering tools and development frameworks (Git, CMake, gtest, or others)
• Experience with software architecture and design
• Experience with state machines, decision trees and behavioral planning
Desired skills
• Experience with inter communication protocols (i.e. TCP/IP, UDP, CAN bus, serial, ARINC 429)
• Experience developing and debugging real-time embedded software and firmware (i.e. gdb)
• Experience with GPU implementation
• Experience with FPGA implementation
• Experience in designing fault tolerant systems
• Experience with the Linux operating system
• Experience with embedded graphical rendering environments (i.e. QT, OpenGL, LVL)
• Experience with Machine Learning applications in an embedded environment
• Experience in a regulated, safety critical environment
• Commitment to mentoring and team development
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to work remotely
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
National Pay Statement
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $132,900 - $234,370. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $152,900 - $264,960. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.

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About Lockheed Martin

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As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912