Lead the technical implementation of platform deployment, optimization, and system‑level AI execution on devices, architecting embedded software solutions that enable AI applications to run effectively within device constraints.
Compensation
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.
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.
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.
Requirements
Bachelor’s degree 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.
Nice to have: advanced degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning
Manage the full lifecycle of intelligent driving software projects, leading cross‑functional teams and ensuring on‑time, quality delivery in the ADAS & HPC domain.
Responsibilities
Manage full lifecycle of intelligent driving software projects
Collaborate with local partners to ensure technical alignment
Lead cross‑functional teams to ensure on‑time, quality, and within‑budget delivery
Oversee software development processes and ensure compliance with functional safety and quality standards
Monitor project progress and provide regular updates to stakeholders
Requirements
Bachelor’s degree or above in Computer Science, Electronic Engineering, Automotive Engineering, or a related field
Nice to have: Experience with local chip platforms (e.g., Horizon Robotics)
Nice to have: Experience in the intelligent driving domain
Nice to have: Experience with ADAS/ADS system architecture
Responsible for developing, integrating, and securing firmware solutions for enterprise infrastructure platforms, working with cross-functional teams to deliver robust platform management capabilities.
Responsibilities
Embed security across the firmware lifecycle by translating security, risk, and compliance requirements into architecture, designs, implementation plans, and validation strategies.
Lead firmware integration across multiple hardware generations while driving Agile execution through sprint planning, backlog management, estimation, and delivery.
Perform advanced system-level debugging and root cause analysis to resolve customer, manufacturing, and pre-production issues.
Establish and promote best practices in secure firmware development, automated validation, and continuous process improvement.
Champion engineering excellence through the adoption of secure development practices, continuous integration pipelines, and AI-assisted engineering solutions.
Lead a team of engineers to define, deliver, and support General Motors Basic Software (GMBSW) across the Mechatronic Software Platform (MSP) portfolio, driving technical strategy, quality, and cross-functional collaboration.
Responsibilities
Lead, coach, and develop a team of BSW engineers
Build an inclusive, psychologically safe culture
Set clear priorities and decision criteria
Own delivery strategy, scope, and execution
Define and evolve reusable BSW solutions
Requirements
Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, or related technical field
Nice to have: Master’s degree in related field
Nice to have: Experience as EGL, SWIM, or equivalent line manager
Nice to have: Experience in Software Defined Vehicle environment
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