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Embedded Ai Jobs (NOW HIRING)

Trinity Technology Solutions

AI Engineer

Burlington, MA · On-site

Design scalable infrastructure with strong foundations-schema, lineage, validation, and anomaly detection for embedded AI. * Integrate edge intelligence, observability, & feedback loops into robotics ...

BigBear.ai

Embedded Engineer

Columbia, MD · On-site

$129K - $170K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Bigbear.ai

Embedded Engineer

Columbia, MD · On-site

$129K - $170K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Crescendo.ai

AI Innovation Lead

San Francisco, CA · On-site

Build Process-Embedded AI * Design and deploy mini‑assistants, copilots, reusable AI personas, and workflow automations * Build lightweight agents (e.g., Gemini Gems or equivalent) embedded into ...

LVT

Senior AI Specialist

American Fork, UT

Audit and rationalize the AI capabilities embedded across LVT's existing tech stack - driving adoption of high-value tools, consolidating redundancies, and deprecating underutilized spend. * Build ...

Bigbear.ai

Embedded Engineer

Columbia, MD

$109K - $228K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site

$149K - $198K/yr

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.

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 compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

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Embedded Ai information

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$70K

$153.4K

$174K

How much do embedded ai jobs pay per year?

As of Jul 11, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Embedded Ai position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What is an Embedded AI job?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are some common challenges faced by Embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

More about Embedded Ai jobs
What cities are hiring for Embedded Ai jobs? Cities with the most 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 Embedded Ai jobs? States with the most job openings for Embedded Ai jobs include:
What job categories do people searching Embedded Ai jobs look for? The top searched job categories for Embedded Ai jobs are:
Embedded Ai jobs near you
Infographic showing various Embedded Ai job openings in the United States as of July 2026, with employment types broken down into 8% Internship, 67% Full Time, and 25% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

AI Engineer

Texas State Library and Archives Commision

Burlington, MA • On-site

Full-time

Re-posted 8 days ago

Job description

What You'll Do:
  • Spearhead full-stack data & ML pipelines for sensor, video, and telemetry data powering real-time robotics and vision systems.
  • Design scalable infrastructure with strong foundations-schema, lineage, validation, and anomaly detection for embedded AI.
  • Integrate edge intelligence, observability, & feedback loops into robotics and perception.
  • Set technical standards, mentor talent, and align architecture to real-world product goals.

Valued Experience:
  • 10+ years driving data infra, ML systems, or end-to-end AI engineering at scale.
  • Hands-on with orchestration tools, feature stores, and cloud infra (AWS, GCP, Azure).
  • Deep software engineering skills (Python, Scala, Java) & streaming frameworks (Spark, Flink).
  • Background with robotics, CV data, and edge deployment preferred.
  • Be the visionary who delivers intelligence to robots at scale. Apply today-Lead and Build tomorrow's physical AI.

  • Hands-on and Strategic software architecture and software development expertise for a Physical product-robotics or Industrial automation.
  • Thrive in a highly dynamic growth stage company!
  • Experience with Large industrial robotics/industrial automation/manufacturing of interest

Apply