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Embedded Machine Learning Jobs in Connecticut (NOW HIRING)

Catalyst Labs, LLC

ML Engineer

Old Greenwich, CT

About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients ...

Catalyst Labs, LLC

ML Engineer

Stamford, CT

About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients ...

Pwc

US Tech - AI Engineering Manager

Stamford, CT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

Pwc

US Tech - AI Engineering Manager

Hartford, CT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

The Hartford

AVP Applied AI, Claims

Hartford, CT · Hybrid

... embedded into core claim processes and colleague experiences. * Build deep partnerships within ... Master's or Ph.D. preferred in Machine Learning, Data Science, Computer Science, Applied ...

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$66.6K

$145.9K

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How much do embedded machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for embedded machine learning in Connecticut is $145,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,100.00 and $164,600.00 per year, depending on experience, location, and employer.

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 is an Embedded Machine Learning job?

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 the Embedded Machine Learning position, and why are they important?

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 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:
Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Connecticut as of May 2026, with employment types broken down into 1% Locum Tenens, 4% Internship, 62% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $145,912 per year, or $70.2 per hour.

Senior Software Engineer - Embedded Systems

Kaav Inc.

Fairfield, CT

$123K - $161K/yr

Other

Posted 21 days ago

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.

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