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Remote Embedded Ai Jobs (NOW HIRING)

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Senior Embedded Software Engineer

Boston, MA · On-site +1

$149K - $198K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Senior Embedded Software Engineer

Pittsburgh, PA · On-site +1

$149K - $198K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Crowe LLP

AI Solutions Consulting Lead

Atlanta, GA · On-site +1

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

Senior AI Solutions Consultant

Tampa, FL · On-site +1

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

AI Solutions Consulting Lead

Chicago, IL · On-site +1

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

Senior AI Solutions Consultant

Nashville, TN · On-site +1

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

AI Solutions Consulting Lead

New York, NY · On-site +1

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

Senior AI Engineer

Austin, TX · On-site +1

$103K - $142K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

Senior AI Solutions Consultant

Atlanta, GA · On-site +1

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

AI Solutions Consulting Lead

Tampa, FL · On-site +1

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

Senior AI Solutions Consultant

Hartford, CT · On-site +1

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Crowe LLP

Senior AI Engineer

New York, NY · On-site +1

$114K - $157K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

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All JobsRemote Embedded Ai Jobs

Remote Embedded Ai information

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$70K

$153.4K

$174K

How much do remote embedded ai jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a Remote Embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

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

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are some common challenges faced by Remote Embedded AI Engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What are the key skills and qualifications needed to thrive as a Remote Embedded AI Engineer, and why are they important?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.
More about Remote Embedded Ai jobs
What cities are hiring for Remote Embedded Ai jobs? Cities with the most Remote Embedded Ai job openings:
What are the most commonly searched types of Embedded Ai jobs? The most popular types of Embedded Ai jobs are:
What states have the most Remote Embedded Ai jobs? States with the most job openings for Remote Embedded Ai jobs include:
What job categories do people searching Remote Embedded Ai jobs look for? The top searched job categories for Remote Embedded Ai jobs are:
Remote Embedded Ai jobs near you
Infographic showing various Remote Embedded Ai job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Boston, MA • On-site, Remote

$134K - $176K/yr

Other

Posted 14 days ago

Job description

Mission Summary:

Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

  • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
  • Design test harnesses for embedded software components and full systems
  • Provide technical mentorship to engineers.
  • Proactively work with cross-functional engineering teams to solve complex and interesting problems.

What We're Looking For:

  • Experience with creating detailed requirements from use cases.
  • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
  • Experience writing software for embedded platforms in C and C++.
  • Experience with Test-Driven Development (TDD).
  • Experience working on embedded Linux / RTOSs.
  • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
  • Experience with debugging on embedded platforms.
  • Experience writing software in Python and experience doing automation with shell scripting.
  • Experience working with ARM Cortex MCUs or Microprocessors.

Bonus Points (not required):

  • Experience working with large data pipelines, and platforms that require deterministic execution.
  • Experience using inter-system communication protocols such as I2C and SPI
  • Experience deploying Machine Learning models.
  • Experience working with GPUs.
  • Experience working directly with the Linux kernel or Device Drivers.
  • Experience with Simulation and Code Generation, and knowing when their use is appropriate.
  • Experience working with Bazel.
  • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
  • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply