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Embedded Machine Learning Jobs in Massachusetts (NOW HIRING)

Spear AI

Embedded DevOps Engineer

Falmouth, MA · On-site

This person will also serve as an informal interface between the embedded software team and the ... Machine Learning engineers. Successful candidates will work well with both teams and bridge the gap ...

Motional

Senior Software Engineer, Next Gen Compute

Boston, MA · Hybrid

$133.10K - $175.50K/yr

... machine learning, sensors, and hardware compute platforms to evolve Motional's on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models ... embedded systems. * Support the transition of the developed algorithms to software using one or ...

Boston Dynamics

Sr. Staff, ML Engineer R&D

Waltham, MA · On-site

$173.73K - $225K/yr

As a Sr. Staff ML Research Engineer on the Machine Learning Safety R&D Team, you will join a small ... You will help integrate your algorithms into embedded systems intended to make our robots safe and ...

MORSE Corp

Lead Data Scientist (TS/SCI)

Cambridge, MA · On-site

$90K - $210K/yr

You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning ... time embedded systems. Requirements: * US CITIZENSHIP REQUIRED and an Active Top Secret U.S.

STR

Principal Signal Processing Researcher

Woburn, MA

$206K - $284K/yr

... machine learning algorithms, systems analysis, and real-time embedded processor implementation. The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar ...

Onto Innovation

Software Engineer 3

Wilmington, MA · On-site

$62.75 - $84.50/hr

... Apply machine learning, image processing, computer vision, mathematics, and optics to develop ... • Familiarity with embedded systems, hardware communication protocols, and/or real-time ...

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How much do embedded machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for embedded machine learning in Massachusetts is $167,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,600.00 and $188,900.00 per year, depending on experience, location, and employer.

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 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.
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Embedded Machine Learning jobs near you
R59622 Senior Software Engineer - AI/Computer Vision (Camera Systems)

R59622 Senior Software Engineer - AI/Computer Vision (Camera Systems)

Motorola

Waltham, MA

$132.20K - $174.20K/yr

Full-time

Medical, Dental, Retirement

Posted 28 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

12th of 137 rated electronics manufacturers

Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewMotorola Solutions' innovations, products and services play essential roles in people's lives. Our end-to-end suite of software solutions helps our customers answer thousands of emergency calls and text messages, and process video, disparate evidence and records. We are also proud to be industry leaders in video security solutions installed in more than 120 countries at thousands of customer sites, including school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.
Our products leverage cutting edge voice technology, language models, natural language understanding, video analytics, and Machine Learning to enable our customers to focus on what matters while providing faster responses, safer outcomes and greater transparency. The candidate will join a talented team of scientists and engineers (located in Chicago, Boston, Vancouver and Krakow, Poland) in the Chief Technology Office at Motorola Solutions working on developing mission-critical AI solutions for our public safety and commercial customers. Our mission is to provide meaningful value to MSI's customers by developing domain-specific applications and services in the areas of Speech & Audio, Machine Translation, Natural Language Understanding and Computer Vision.
Our AI team is focused on all aspects of 1) designing, prototyping and developing solutions (algorithms and architectures for object detection and tracking, classification etc.), 2) Machine Learning training and optimization (distributed training and inference acceleration) and 3) data (tools for data acquisition, annotation - both human and machine-powered, data pipelines and supporting ML infrastructure). We're excited about the work we are doing in AI. We often describe it as "Mission Critical AI" because our approach is founded on our many years of Public Safety and Video Security experience and knowledge. We know the mission-critical needs of our customers are unique and different from the most consumer technologies that leverage AI today.
Job Description
Job Description

As a Senior Software Engineer in our camera systems group, you will play a crucial role in designing, developing, and optimizing C++ code for embedded systems. You will work on implementing and deploying AI models and sophisticated algorithms directly on our camera hardware, enabling real-time analysis of video feeds for critical safety and security applications. This position requires a deep understanding of modern C++, strong software engineering principles, and experience with camera technologies.

Responsibilities:

  • Design, develop, and test high-performance modern C++ code for implementing AI models and computer vision algorithms on embedded camera platforms.

  • Optimize code for performance and resource constraints on embedded systems.

  • Integrate and deploy AI models onto camera hardware.

  • Collaborate with AI/ML engineers to translate models into efficient C++ implementations.

  • Work with camera SDKs and APIs to access and process video streams.

  • Develop and maintain unit and integration tests.

  • Participate in code reviews and contribute to best practices and documentation

  • Troubleshoot and debug software issues on embedded systems.

  • Contribute to the development of new features and enhancements for our camera systems.

  • Stay up-to-date with the latest advancements in AI, computer vision, and embedded systems.

Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field. Masters or Ph.D. is a plus.

  • 4+ years of experience in C++ software development, with a strong emphasis on performance optimization.

  • Significant experience working with camera systems, including image processing, video encoding/decoding, and camera SDKs/APIs.

  • Experience implementing and deploying AI models on embedded platforms is highly desired.

  • Proficiency in Python for scripting and tooling is a plus.

  • Strong understanding of software engineering principles, including design patterns, testing methodologies, and version control (e.g., Git).

  • Experience with Linux/embedded Linux development environments.

  • Excellent problem-solving and debugging skills.

  • Ability to work independently and as part of a team.

  • Strong communication and collaboration skills.

  • Experience with computer vision libraries (e.g., OpenCV) is a plus.

  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, ONNX Runtime) is a plus.

  • Experience with CI/CD systems like GitHub Actions or Azure DevOps is also a plus.

Target Base Salary Range:

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note: Candidate must live in the Greater Boston Area.


#LI-MP2
#LI-HYBRD


Basic Requirements

  • Bachelors degree with 4+ years of Software Engineering experience

  • AND 3+ years of C++ software development experience

  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position


Travel RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNo

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928

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