Director Embedded AI Engineering

Honeywell -
Atlanta, GA

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Job Details

Full-time

Qualifications

AI models
GPU architecture
Embedded systems
System performance optimization
AI tools proficiency
System design
Application deployment
System design for system development
Machine intelligence
Model deployment
Embedded software
System deployment
Machine learning (ML) fundamentals
MLOps

Full 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.

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.

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.

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.

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