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Embedded Ai Engineer Jobs in Massachusetts (NOW HIRING)

Principal Full Stack AI Engineer

Boston, MA ยท On-site

$150 - $250/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Position SummaryVertex is seeking an Agent Engineer, Agentic AI Platform to help create the next ... embedded delivery modelExperience building internal copilots, assistants, or task-oriented AI ...

Principal Full Stack AI Engineer

Boston, MA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This individual will play a key role in ensuring AI capabilities are embedded into day-to-day work ... Experience in software engineering, AI/application engineering, or platform engineering, including ...

Senior Embedded Engineer

Boston, MA ยท Hybrid

$134K - $176K/yr

Champion the use of AI across the embedded team, applying it to accelerate development, code ... Set the bar for engineering quality through code and design reviews and strong validation practices ...

About the Role We are seeking a highly motivated and experienced Embedded Machine Learning Engineer to join our growing Edge AI team. As a key contributor, you will lead the on-device inference and ...

Staff Embedded ML Engineer, Edge AI

Boston, MA

$142K - $187K/yr

  • Medical

  • Retirement

About the Role We are seeking a highly motivated and experienced Embedded Machine Learning Engineer to join our growing Edge AI team. As a key contributor, you will lead the on-device inference and ...

Staff Embedded ML Engineer, Edge AI

Boston, MA ยท On-site

$142K - $187K/yr

  • Medical

  • Retirement

About the Role We are seeking a highly motivated and experienced Embedded Machine Learning Engineer to join our growing Edge AI team. As a key contributor, you will lead the on-device inference and ...

AI Platform Engineer

Somerville, MA ยท Hybrid

$130K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital ... Hands-on experience with LLMs, prompt engineering, agent frameworks, and RAG, built and shipped in ...

Embedded DevOps Engineer

Falmouth, MA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Spear AI is seeking an engineer to provide DevOps and infrastructure for the embedded software team on our hardware platforms. This person will also serve as an informal interface between the ...

Embedded DevOps Engineer

Falmouth, MA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Spear AI is seeking an engineer to provide DevOps and infrastructure for the embedded software team on our hardware platforms. This person will also serve as an informal interface between the ...

Senior Embedded Engineer

Boston, MA ยท On-site

$140 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Champion the use of AI across the embedded team, applying it to accelerate development, code ... Set the bar for engineering quality through code and design reviews and strong validation practices ...

AI Platform Engineer

Somerville, MA ยท On-site

$130K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital ... Hands-on experience with LLMs, prompt engineering, agent frameworks, and RAG, built and shipped in ...

AI Platform Engineer

Somerville, MA ยท On-site

$130K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital ... Hands-on experience with LLMs, prompt engineering, agent frameworks, and RAG, built and shipped in ...

Showing results 21-40

Embedded Ai Engineer information

See Massachusetts salary details

$76.4K

$167.5K

$190K

How much do embedded ai engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for embedded ai engineer 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 AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Massachusetts?

For Embedded Ai Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Massachusetts look for?

The top searched job categories for Embedded Ai Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Embedded Ai Engineer jobs?

Cities in Massachusetts with the most Embedded Ai Engineer job openings:

Infographic showing various Embedded Ai Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $167,514 per year, or $80.5 per hour.

Engineer II, Software Embedded Applications (R5069) with Security Clearance

Shield AI Inc

Boston, MA โ€ข On-site

$142K - $187K/yr

Other

Posted 25 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description: We are seeking for talented embedded software engineers with good skills in C++ in embedded systems to join our X-BAT Embedded Software Team focused on developing complex avionics software that merges hardware and embedded applications for cutting-edge Unmanned Aerial Vehicles (UAV). The Embedded Software Engineer II works in a high pace environment with a cross-functional team, working closely with experienced engineers, to design and develop software systems which utilize modern aerospace sensors, state-of-the-art UAV avionics. What you'll do: * Develop high-quality C/C++ code tailored specifically for X-Bat aircraft, ensuring optimal performance, reliability, and safety. * Participate in design, code reviews and test. * Integrate software from multiple departments to include firmware, software test and verification, Autonomy AI, and Ground Control Stations (GCS) * Develop software systems to implement and integrate interfaces to modern avionics sensors, sub-systems, and payloads * Use modern software development tools and processes to capture our existing architecture and design future architectures * Report status, risks, accomplishments, expectations to senior leadership * Design and implement systems capable of conducting tests across various environments, including virtualized hardware and hardware-in-the-loop simulations, to facilitate thorough evaluation of software functionality and performance. * Develop innovative tools to enhance the frequency and reliability of software deployment, test execution, and data analysis within a continuous integration and release system, fostering improved efficiency and productivity in software development workflows. * Create prototypes to validate critical design concepts and assess technical limitations, providing tangible evidence of feasibility and informing decision-making processes. Required qualifications: * Evidence of professional embedded software development in C/C++. * Good understand of Oriented Object Programming and modern C++ features. * Good knowledge of embedded software, BSPs or other systems software components. * Good understanding of computer architecture, operating systems, and network protocols fundamentals. * Demonstrated leadership and ownership skills. * Evidence of producing high-quality technical documentation, detailed designs, and test plans. * B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering * Ability to obtain a S//SAR level security clearance desired. Preferred qualifications: * Comfortable with fast-paced environments, within startup or R&D settings. * Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes. #LI-SM1 #LB Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.