Director Embedded AI/ML Engineering

As Director Engineering - Embedded Software at Honeywell Technologies, you will serve as the hands-on technical execution leader responsible for deploying AI-first platforms onto embedded devices and ensuring the software implementation works effectively on target hardware platforms.

In this role, you will impact the success of AI-enabled technology solutions by delivering scalable embedded software capabilities, optimizing AI workloads for device-level execution, and supporting the broader platform roadmap through execution excellence.

The position is deeply technical and execution oriented. It is focused on how an end-to-end platform is built, optimized, and deployed on embedded platforms, with emphasis on software stacks, AI deployment

You will report directly to our Senior Director Business Development - Forge & AI and work out of our Atlanta, GA location on a hybrid work schedule.

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

• 10+ years of experience in software architecture, embedded software development, AI deployment, or related engineering roles.
• Hands-on experience deploying software applications onto embedded devices or AI-enabled hardware platforms.
• Demonstrated understanding of embedded software development, software stacks, AI deployment frameworks, and system-level AI execution on target hardware.
• Deep understanding of and experience with AI/ML algorithms and computer vision applications.
• Experience building and managing MLOps pipelines for AI model deployment at the edge and AI workload optimization in embedded environments, including memory management, compute management, runtime optimization, and performance tuning.

WE VALUE

• Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics, computer science, or a related field; Advanced degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field.
• Background in system solutions with AI application deployment experience.
• Working knowledge of AI acceleration technologies, GPUs, AI accelerators, model quantization, fine-tuning, and model optimization techniques.
• Proven ability to create scalable embedded software solutions and deliver AI capabilities that operate effectively on real-world device platforms.
• Ability to work in a collaborative, agile, fast-paced, and dynamic environment while maintaining technical rigor, execution focus, and a passion for innovation and continuous learning.
• Demonstrated technical leadership and problem-solving skills with the ability to guide execution, resolve complex engineering issues, and deliver working AI capabilities on devices.
• Ability to partner with business teams and customers to understand requirements, gather feedback, and ensure solutions meet market and product needs.

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.

BENEFITS OF WORKING FOR HONEYWELL TECHNOLGIES

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell Technologies employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information, Click Here.

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

Honeywell Technologies is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and engagement: Click Here

KEY RESPONSIBILITIES

• Lead the technical implementation of platform deployment, optimization, and system-level AI execution on devices.
• Architect and implement embedded software approaches that enable AI applications to run effectively within device memory, compute, power, and performance constraints.
• Actively contribute to technical execution and deployment activities, including hands-on deployment of AI models directly on embedded devices.
• Ensure cohesive integration across embedded software, firmware, hardware interfaces, testing processes, and AI software stacks to deliver high-quality technology solutions.
• Collaborate with cross-functional engineering, product, business, and customer-facing teams to translate requirements into executable technical plans and working device capabilities.
• Drive technical execution from concept through deployment, ensuring solutions align with business objectives, product roadmaps, customer needs, scalability expectations, security, and compliance requirements.
• Promote innovation, continuous improvement, and execution discipline across initiatives while mentoring engineers through complex technical challenges.

KEY RESPONSIBILITIES

• Lead the technical implementation of platform deployment, optimization, and system-level AI execution on devices.
• Architect and implement embedded software approaches that enable AI applications to run effectively within device memory, compute, power, and performance constraints.
• Actively contribute to technical execution and deployment activities, including hands-on deployment of AI models directly on embedded devices.
• Ensure cohesive integration across embedded software, firmware, hardware interfaces, testing processes, and AI software stacks to deliver high-quality technology solutions.
• Collaborate with cross-functional engineering, product, business, and customer-facing teams to translate requirements into executable technical plans and working device capabilities.
• Drive technical execution from concept through deployment, ensuring solutions align with business objectives, product roadmaps, customer needs, scalability expectations, security, and compliance requirements.
• Promote innovation, continuous improvement, and execution discipline across initiatives while mentoring engineers through complex technical challenges.