ZipRecruiter

Log In

1

Embedded Machine Learning Internship Jobs in Connecticut

next page

Showing results 1-20

People also search for

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Connecticut

Embedded Machine Learning Internship information

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 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 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 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:
What job categories do people searching Embedded Machine Learning Internship jobs in Connecticut look for? The top searched job categories for Embedded Machine Learning Internship jobs in Connecticut are:
What cities in Connecticut are hiring for Embedded Machine Learning Internship jobs? Cities in Connecticut with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Connecticut as of May 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Senior Software Engineer - Embedded Systems

Kaav Inc.

Fairfield, CT • On-site

$123.50K - $161.90K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Position: Senior Software Engineer - Embedded Systems
Location: Fairfield, CT (Onsite - 5 Days/Week, Local Candidates Only)
Duration: Full-Time / Direct Hire (W2)
Experience Required: 7 - 20 Years
Visa Eligibility: US Citizens & Green Card Holders Only
Interview Process: 2 Rounds (Teams Video + Onsite)
Domain: Industrial Automation & Robotics
About the Role
We are seeking a highly skilled Senior Software Engineer (Embedded Systems) to join our client's Industrial Automation & Robotics division. This role offers the opportunity to design and develop advanced embedded solutions that bridge hardware and software, driving automation, robotics, and control systems. You will work on cutting-edge technologies, developing high-performance software for mission-critical applications.
If you enjoy solving complex physical problems, working with real machines, and seeing the direct impact of your code in motion, this role will provide the challenge and career growth you're looking for.
Key Responsibilities
  • Design, develop, and optimize embedded software for robotics and automation systems.
  • Work with real-time operating systems (RTOS) for mission-critical performance and reliability.
  • Develop control system software for industrial applications, including robotics and automated machinery.
  • Collaborate with cross-functional teams including hardware, systems, and testing engineers.
  • Implement machine learning algorithms for system monitoring, categorization, and optimization.
  • Ensure real-time monitoring and performance analysis of embedded systems.
  • Lead and mentor junior engineers in embedded systems development best practices.
  • Participate in code reviews, system integration, and onsite testing.
Required Qualifications
  • 7-20 years of professional experience in embedded software development.
  • Strong programming expertise in C++ (modern C++ preferred).
  • Proven experience in embedded development and real-time operating systems (RTOS).
  • Hands-on experience with control systems and hardware/software integration.
  • Strong knowledge of embedded devices, robotics, and automation tools.
  • Excellent problem-solving, debugging, and troubleshooting skills.
  • Ability to work onsite in Fairfield, CT (no relocation support).
Preferred / Nice-to-Have
  • Experience in industries such as Industrial Automation, Robotics, Aerospace, Defense, Semiconductor, Medical Devices, Appliances, or Embedded Systems.
  • Knowledge of machine learning applications in embedded systems.
  • Exposure to safety-critical systems and compliance standards.
  • Strong collaboration and communication skills.

Apply