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Embedded Machine Learning Jobs in Boston, MA (NOW HIRING)

MORSE Corp

Data Scientist

Cambridge, MA

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 ...

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

$173K - $225K/yr

Sr. Staff ML Research Engineer As a Sr. Staff ML Research Engineer on the Machine Learning Safety ... You will help integrate your algorithms into embedded systems intended to make our robots safe and ...

Bostondynamics

Sr. Staff, ML Engineer R&D

Waltham, MA

$173K - $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 ...

Boston Dynamics

Sr. Staff, ML Engineer R&D

Waltham, MA · On-site

$173K - $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 ...

Motional

Senior Software Engineer, Next Gen Compute

Boston, MA · Hybrid

$133K - $175K/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

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

Lead Signal Processing Researcher

Woburn, MA · On-site

$173K - $216K/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 ...

New

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 ...

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Showing results 1-20

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Boston, MA

Embedded Machine Learning information

See Boston, MA salary details

$76K

$166.6K

$189K

How much do embedded machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for embedded machine learning in Boston, MA is $166,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,900.00 and $187,900.00 per year, depending on experience, location, and employer.

Will AI replace embedded programmers?

Embedded machine learning involves developing algorithms for resource-constrained devices, and while AI tools can assist with coding and optimization, embedded programmers are essential for designing, implementing, and maintaining these systems. AI is more likely to augment their work rather than fully replace them, especially given the need for specialized knowledge of hardware and real-time constraints.

Is embedded AI a good career?

Embedded machine learning involves developing AI models for hardware with limited resources, such as IoT devices and embedded systems. It is a growing field with demand for skills in hardware programming, C/C++, and AI frameworks, offering opportunities in industries like automotive, healthcare, and consumer electronics.

Is embedded systems still a good career in 2026?

Embedded Machine Learning remains a strong career in 2026 as industries increasingly adopt AI-powered devices and IoT solutions. Professionals with skills in hardware programming, real-time systems, and machine learning frameworks like TensorFlow Lite are in demand for developing intelligent embedded applications. Continuous learning and familiarity with microcontrollers, sensors, and embedded software development are essential for long-term growth in this field.

What engineers make $500,000?

Senior engineers in specialized fields such as embedded machine learning, AI, or data science can reach salaries of $500,000 or more, especially with extensive experience, advanced skills in programming and hardware, and leadership roles. High compensation often involves working in high-demand industries, with additional bonuses or stock options contributing to total earnings.

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 Boston, MA? The most popular types of Embedded Machine Learning jobs in Boston, MA are:
What are popular job titles related to Embedded Machine Learning jobs in Boston, MA? For Embedded Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Boston, MA look for? The top searched job categories for Embedded Machine Learning jobs in Boston, MA are:
Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Boston, MA as of June 2026, with employment types broken down into 70% Full Time, 15% Part Time, 7% Temporary, 4% Contract, and 4% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $166,636 per year, or $80.1 per hour.
Senior Embedded Software Engineer

Senior Embedded Software Engineer

908 Devices

Burlington, MA • On-site

$115K - $135K/yr

Full-time

Posted 9 days ago

Job description

908 Devices Inc. (NASDAQ: MASS) is revolutionizing chemical analysis with its simple handheld devices, addressing life-altering applications. The Company's devices are used at the point-of-need to interrogate unknown and invisible materials and provide quick, actionable answers in vital health, safety and defense tech applications, addressing the fentanyl and illicit drug crisis, toxic carcinogen exposure, and global security threats. The Company designs and manufactures innovative products that bring together the power of complementary analytical technologies, software automation, and machine learning. For more information, visit 908devices.com

908 Devices has a corporate office in Burlington, MA with a manufacturing center in Danbury, Connecticut and a growing population of remote staff worldwide.

Position Summary

This position, based in our Burlington, MA office, offers a unique opportunity to collaborate with world-class engineers and scientists developing groundbreaking products for chemical detection. In this role, you will design and develop embedded software that controls sophisticated electromechanical instruments operating under real-time and near-real-time constraints. A systems-level mindset and the ability to read and understand circuit schematics are important for success.

To achieve our ambitious goals, we develop software using a variety of programming languages, tools, and frameworks, selecting the best technologies for each challenge. While experience in every technology we use is not required, a strong desire to learn and adapt is essential. Our culture is built on continuous learning, where innovation is encouraged and coworkers and leaders actively support professional growth and new ideas.

AI assistants are becoming a standard part of engineering workflows, and you should be open to and comfortable leveraging these tools to improve efficiency while maintaining quality, accuracy, and security.

If you enjoy working at the leading edge of technology and collaborating with talented teams to build state-of-the-art software, you will find strong opportunities to excel and grow with us.


Key Responsibilities

  • Collaborate with peers from across the organization to refine requirements for new products and features and work with a cross-functional team on implementation
  • Contribute to the ongoing maintenance of our suite of best-in-class products
  • Support our drive to improve our quality and reliability by enhancing our standards and best practices
  • Develop close working relationships with adjacent RnD teams including electrical engineering, manufacturing and algorithm development

Skills & Qualifications

  • A dedicated, detail-oriented professional with a strong sense of ownership and a focus on driving tasks to completion
  • An extensive background in contributing to and collaborating on systems engineering aspects of highly integrated software driven electro-mechanical devices
  • A history of designing and programming multi-threaded embedded software
  • Experience with software architecture formulation and assessment, and software technology selection for new products
  • A strong grasp of professional development concepts such as best practice coding standards, source control, automated build environments and project management/bug tracking software
  • Experience working in an environment that included processes and techniques that drive software quality throughout the full product development lifecycle such as static analysis, code reviews, unit tests, functional tests and test automation
  • Strong working knowledge of common programming languages, including C and C++ and associated development environments on Windows and Linux
  • Experience with Python and other high-level languages is a plus
  • Strong written and verbal communication skills
  • Strong grasp of Object-Oriented programming concepts and their proper use
  • Experience with Qt/QML and/or low-level Yocto modifications is a plus
  • Experience working with hardware designers to achieve optimum system performance
  • Experience writing documentation that captures software architecture, design philosophy, design requirements and specifications

Education & Experience

  • BS in Computer Science, Electrical or Computer Engineering or equivalent
  • A minimum of 8 years of experience in software engineering with direct responsibility for low-level system development, including hardware interfacing, I/O control, peripheral setup and integration, and system-level debugging

Additional Details

  • Location: This position is located at our Burlington, MA headquarters
  • Compensation: The annualized base pay range for this position at the commencement of employment is expected to be between $115,000 and $135,000 per year; the base pay offered may vary depending on several individualized factors, including market location, job-related skills, and experience. This position may also be eligible to receive additional compensation, such as an annual incentive bonus, sales commission, or long-term incentives

We are proud to be a company changing the status quo in our industry. Join us and work with curious and innovative people, creative problem solvers, risk-takers, and dedicated colleagues as we reimagine the future of Mass Spec.

908 Devices does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.