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Embedded Ai Engineer Jobs in Boston, MA (NOW HIRING)

Vertex Pharmaceuticals

Principal Full Stack AI Engineer

Boston, MA · 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 ...

Bevi

Senior Embedded Engineer

Boston, MA · 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 ...

Vrtx

Principal Full Stack AI Engineer

Boston, MA · 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 ...

SimpliSafe

Staff Embedded ML Engineer, Edge AI

Boston, MA · On-site

$142K - $187K/yr

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 ...

SimpliSafe

Staff Embedded ML Engineer, Edge AI

Boston, MA · 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 ...

SimpliSafe

Staff Embedded ML Engineer, Edge AI

Boston, MA · 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 ...

Tulip Interfaces

AI Platform Engineer

Somerville, MA · 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 ...

Doist

AI Enablement Engineer- Developer Experience

Somerville, MA · On-site

$130 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital ... You think agentic AI and developers working together is one of the most interesting opportunities ...

New

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Showing results 21-40

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Boston, MA

Embedded Ai Engineer information

See Boston, MA salary details

$76K

$166.6K

$189K

How much do embedded ai engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded ai engineer in Boston, MA is $166,627.00, 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.

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 Boston, MA?

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

What job categories do people searching Embedded Ai Engineer jobs in Boston, MA look for?

The top searched job categories for Embedded Ai Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Embedded Ai Engineer jobs?

Cities near Boston, MA with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $166,627 per year, or $80.1 per hour.

Senior Engineer, Software Embedded Applications (R5071)

Shield AI

Boston, MA

$120K - $190K/yr

Full-time

Re-posted 24 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 skilled, experienced embedded software engineers with relevant experience 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 works with in a high pace environment with a cross-functional team of program stakeholders, electrical engineers, Guidance, Navigation and Controls (GNC) engineers, systems engineers, test engineers and the autonomy team, 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 architecture, design, and code reviews  
  • 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  
  • Facilitate the design process for updates to the software system architecture   
  • Use modern software development tools and processes to capture our existing architecture and design future architectures  
  • Collaborating to define and extend systems engineering processes   
  • 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:
  • Strong embedded software development experience in C/C++.  
  • Strong understand of Oriented Object Programming and modern C++ features. 
  • Strong knowledge of embedded software, BSPs or other systems software components. 
  • Good understanding of computer architecture, operating systems, and network protocols fundamentals. 
  • Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes. 
  • Experience producing high-quality technical documentation, including architecture, detailed designs, and test plans. 
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed client expectations in a fast-paced environment   
  • Proactively identify opportunities for improvement within software development projects, demonstrating initiative to propose and implement innovative solutions that enhance efficiency, quality, and overall project success and X-Bat reliability   
  • 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:
  • Proven background in thriving within fast-paced environments, within startup or R&D settings. 
  • Proven experience in development of military aircrafts.  
  • Compliance with DO-178C 
  • Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes. 
  • Familiar with FPGA development using SystemVerilog.  
  • Real Time Operating System (RTOS) experience.
$120,000 - $190,000 a year
#LI-SM1
#LC

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.
 
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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. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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