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Embedded Machine Learning Jobs in Connecticut (NOW HIRING)

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

... embedded into systems and workflows, preventing bad data at the source rather than correcting it ... Generative AI, machine learning, and advanced analytics * Enterprise data and analytics platforms

Experience applying artificial intelligence, machine learning, or large language model workflows to ... Supporting embedded client delivery by leading day-to-day workstream execution, documenting ...

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Embedded Machine Learning information

What is an embedded machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What are the most commonly searched types of Embedded Machine Learning jobs in Connecticut?

The most popular types of Embedded Machine Learning jobs in Connecticut are:

What are popular job titles related to Embedded Machine Learning jobs in Connecticut?

For Embedded Machine Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning jobs in Connecticut look for?

The top searched job categories for Embedded Machine Learning jobs in Connecticut are:

Infographic showing various Embedded Machine Learning job openings in Connecticut as of August 2026, with employment types broken down into 22% Internship, and 78% Full Time. Highlights an 100% In-person job distribution.

Principal Software Engineer (Embedded Systems)

Highbrow LLC

Norwalk, CT • On-site

$110 - $140/hr

Other

Posted 13 days ago


Job description

Job Title: Principal Software Engineer (Embedded Systems)

Location: Norwalk, CT area (5 days onsite)

Domain: Industrial Automation Robotics

Interview: Teams Meetings (2) – then potential onsite interview (client pays the travel expenses)

VISA: USC, Green Card

Do not send: Konstantin Yakovlev, Kam Anjorin, Jason Lowe, Charles Lowe, Bo Lui, Gilbert Desmarias, Darrell Weaver, Vadym Kargin, Vijay Gude, Brett Porter

PLEASE FILL IN TEMPLATES #1 and #2 BELOW

Template#1 Candidate Details

  • Full Name (First and Last):
  • Phone Number:
  • E-Mail ID:
  • Salary:
  • US or Green card:
  • Current Location (City & State):

Template #2 How Many Years With

  • C:
  • C++:
  • RTOS:
  • Embedded Software:
  • Device Driver Software Development:

Job Details

As a software engineer, you’ll tackle challenges that blend hardware and software—working on things like machine learning for organizing and categorizing algorithms, real-time system monitoring, and high-performance automation tools. The problems are complex, the scale is global, and your work directly impacts how businesses operate.

It’s an environment where innovation is constant, your contributions are visible, and your growth is taken seriously.

If you’re looking to write software that drives real machines, solves physical problems, and delivers impact you can see—not just in code, but in motion—this is the kind of place that will keep you engaged and growing every day.

10 years of experience with C++, Embedded Development, RTOS, and Control systems are needed for this role. Bachelor’s degree as a minimum is also needed for this role.

Industries/Domains to target

  • Medical
  • Semiconductor
  • Aerospace
  • Defense
  • Industrial Control Systems
  • Robotics
  • Machines
  • Appliances
  • Embedded Devices
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