Director, AI-Driven Embedded Software Platforms

Honeywell International, Inc.; Atlanta (GA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

401(k) match

Educational Assistance

Parental Leave

Paid Time Off

Job summary

Honeywell Technologies is seeking a Director of Engineering – Embedded Software to lead hands-on technical execution for deploying AI-first platforms onto embedded devices. You will optimize AI workloads for device-level execution and contribute to the broader platform roadmap with execution excellence.

The role focuses on end-to-end platform build, optimization, and deployment on embedded hardware, covering software stacks, AI frameworks, and embedded development practices.

Qualifications

• 10+ years in software architecture, embedded software development, AI deployment or related roles.
• Hands-on experience deploying software on embedded devices or AI-enabled hardware.
• Strong understanding of embedded software stacks, AI deployment frameworks and target hardware AI execution.
• Deep knowledge of AI/ML algorithms and computer vision applications.
• Experience building and managing MLOps pipelines for AI models at the edge and optimizing AI workloads in embedded environments.

Responsibilities

• Lead the technical implementation for platform deployment, optimization and system-level AI execution on devices.
• Architect and implement embedded software approaches enabling AI to run within device constraints.
• Hands-on deployment of AI models directly on embedded devices.
• Ensure cohesive integration across embedded software, firmware, hardware interfaces, testing and AI stacks.
• Collaborate with cross-functional teams to translate requirements into executable technical plans.
• Drive technical execution from concept through deployment aligned with product roadmaps and customer needs.
• Mentor engineers and promote innovation, discipline and continuous improvement.

Job description

Honeywell Technologies is seeking a Director of Engineering – Embedded Software to lead hands-on technical execution for deploying AI-first platforms onto embedded devices. You will optimize AI workloads for device-level execution and contribute to the broader platform roadmap with execution excellence.

The role focuses on end-to-end platform build, optimization, and deployment on embedded hardware, covering software stacks, AI frameworks, and embedded development practices.