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Director Embedded Ai Jobs (NOW HIRING)

Honeywell

Director Embedded AI Engineering

Atlanta, GA · On-site

$126K - $166K/yr

We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment. You will be part of the Forge and AI ...

Stanley Black & Decker

Director, Embedded Software

Towson, MD · On-site

$126K - $165K/yr

Director, Embedded Software Come make the world and accelerate your success. It takes great people ... of AI tools in New Product Development. The Person: You love to learn and grow and be acknowledged ...

Sbdinc

Director, Embedded Software

Towson, MD · On-site

$126K - $165K/yr

Director, Embedded Software Come make the world and accelerate your success. It takes great people ... of AI tools in New Product Development. The Person: You love to learn and grow and be acknowledged ...

GEICO

Director, Embedded Analytics

New York, NY · On-site

The Director, Embedded Analytics will define the vision and standards for how analytics is ... AI-Driven Decisioning * Set the vision for how AI should be used within embedded analytics to ...

Geico

Director, Embedded Analytics

New York, NY

The Director, Embedded Analytics will define the vision and standards for how analytics is ... AI-Driven Decisioning * Set the vision for how AI should be used within embedded analytics to ...

Geico

Director, Embedded Analytics

Bethesda, MD

The Director, Embedded Analytics will define the vision and standards for how analytics is ... AI-Driven Decisioning * Set the vision for how AI should be used within embedded analytics to ...

NRG

Sr. Director, Embedded Engineering

WA · Remote

$126K - $166K/yr

About the Role Vivint is seeking a Senior Director of Embedded Engineering to lead the teams that ... Strong understanding of AI and computer vision requirements - edge inference constraints, model ...

Programmers.io

Java Full Stack AI Developer

Sunnyvale, CA · On-site

$61.50 - $79.50/hr

• Drive the adoption of embedded AI, moving beyond simple API calls to integrating local LLMs and ... Direct path solutioning, prioritizing stability and long-term maintainability. • Operate ...

Moog

Senior Director, AI Enablement

Buffalo, NY · On-site

$255K - $275K/yr

... MLOps, and AI-embedded enterprise platforms * Experience operating in regulated industries ... Direct experience with ITAR, EAR, CMMC, or other defense/export control regulatory frameworks

Moog, Inc.

Senior Director, AI Enablement

Buffalo, NY · On-site

$255K - $275K/yr

... MLOps, and AI-embedded enterprise platforms * Experience operating in regulated industries ... Direct experience with ITAR, EAR, CMMC, or other defense/export control regulatory frameworks

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Director Embedded Ai information

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How much do director embedded ai jobs pay per year?

As of Jun 20, 2026, the average yearly pay for director 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 does a Director of Embedded AI do?

A Director of Embedded AI oversees the development and integration of artificial intelligence technologies into hardware devices and embedded systems. They lead teams of engineers and data scientists to create smart, efficient, and secure AI solutions for products such as IoT devices, automotive systems, medical devices, and more. This role involves setting strategic direction, managing projects, ensuring compliance with industry standards, and collaborating with other departments to bring AI-driven features to market. Directors of Embedded AI also stay up-to-date with advancements in AI and embedded systems to maintain a competitive edge.

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

To thrive as a Director of Embedded AI, you need deep expertise in embedded systems, AI/machine learning algorithms, and a relevant advanced degree such as a master's or PhD in computer science or engineering. Familiarity with tools like TensorFlow Lite, PyTorch, edge AI platforms, and experience managing cross-functional development teams are crucial, along with certifications in AI or embedded systems being advantageous. Leadership, strategic vision, and excellent communication skills are essential for guiding teams and aligning projects with organizational goals. These capabilities ensure the successful integration of AI solutions into embedded products, driving innovation and competitive advantage.

How does a Director of Embedded AI typically collaborate with cross-functional teams to drive project success?

A Director of Embedded AI regularly works alongside hardware engineers, software developers, product managers, and data scientists to ensure AI solutions are seamlessly integrated into embedded systems. Collaboration involves aligning AI capabilities with hardware constraints, overseeing the development pipeline, and facilitating communication between teams to address technical challenges. This role often leads strategic planning sessions, reviews project milestones, and ensures all stakeholders are informed about progress and requirements. Effective collaboration is crucial for delivering innovative products on time and within budget.
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Director Embedded Ai jobs near you
Infographic showing various Director Embedded Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Director Embedded AI Engineering

Director Embedded AI Engineering

Honeywell

Atlanta, GA

Full-time

Posted 17 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

65th of 518 rated manufacturers

Job description

This role is for a hands-on lead specializing in Edge AI deployment. The successful candidate will provide specialized expertise in model optimization at the edge, robust deployment, and MLOps pipeline development. You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions.

We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment.

You will be part of the Forge and AI team, based in Atlanta, Georgia.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

YOU MUST HAVE

  • Proven experience in embedded AI with hands-on expertise in GPU or AI accelerator deployment.
  • Strong skills in edge model optimization and embedded system architecture.
  • Deep understanding of AI/machine learning algorithms and computer vision applications.
  • Experience building and managing MLOps pipelines for AI model deployment at the edge.
  • Excellent problem-solving skills and a passion for innovation in embedded AI technologies.

WE VALUE

  • Background in system solutions with AI application deployment experience.
  • Strong knowledge of embedded systems and real-time operating environments.
  • Experience working in collaborative, agile environments.
  • Advanced degree in Computer Science, Electrical Engineering, or related technical field preferred.

US PERSON REQUIREMENTS:

  • Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

KEY RESPONSIBILITIES

  • Lead hands-on development and deployment of Edge AI solutions with a focus on model optimization and performance on embedded platforms.
  • Design and implement robust MLOps pipelines to support continuous integration and deployment of AI models at the edge.
  • Collaborate with cross-functional teams to integrate AI applications into embedded systems using GPUs and AI accelerators.
  • Provide technical leadership and mentorship in embedded AI, system architecture, and AI deployment strategies.
  • Drive innovation and problem-solving initiatives to enhance AI capabilities and deployment robustness on edge devices.

What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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