Lead AI R&D Software Architect & Integration Scientist

Honeywell International - Phoenix, AZ

Full-time - Senior

Phoenix, AZ

Computer and Electronic Product Manufacturing

About the position

The Lead AI R&D Software Architect & Integration Scientist at Honeywell is responsible for designing and leading the development of software systems for speech anonymization, focusing on real-time systems and speech processing. This role involves overseeing the software architecture to ensure performance, scalability, and real-time requirements are met, while collaborating with engineers, researchers, and product managers across the organization. The position emphasizes speech technology but may extend to other technology areas in future R&D efforts.

Responsibilities

• Design the architecture for a real-time speech processing system capable of handling high loads of streaming audio data.
• Develop software frameworks for speech processing, leveraging multi-core processors, threading, lookup tables, and parallel computing to ensure real-time performance.
• Lead the implementation of automated build creation, continuous integration, and testing pipelines.
• Integrate various modules (speech modification, trait anonymization) into a single, cohesive system.
• Ensure cross-platform compatibility (Linux, iOS) and optimal performance on CPU and GPU.
• Lead the DevOps/MLops practices to automate testing and deployment for AI/ML models.
• Responsible for ensuring research products are functional, integrated, and enforcing software coding best practices across the team.
• Establish version control, continuous integration (CI/CD), and maintain modularity across different system components.
• Conceptualize and conduct applied research figuring out research developments best suited to solve open-ended problems.
• Submit patent applications and share technical knowledge.

Requirements

• Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics.
• 10+ years of experience in software architecture, integration, and real-time processing systems.

Nice-to-haves

• Master's or Ph.D. in Computer Science, Software Engineering, or related fields.
• Proven experience with containerization tools (e.g., Docker) and automated build pipelines, and REST API.
• Proven experience in software architecture design for real-time applications and high-performance systems.
• Expertise in parallel computing, multi-core processing, threading, and distributed systems.
• Proficient in designing software of DevOps/MLOps practices, including CI/CD pipelines, containerization (Docker), and version control (Git).
• Experience working with cloud-based ML platforms.
• Experience in GPU optimization, CUDA/cuDNN, and large-scale data processing for AI models.
• Strong coding skills in Python, C++, and experience working with AI/ML models (PyTorch, TensorFlow).
• History of academic publications on speech technology, or in related computer science area.

Benefits

• Unlimited Vacation Plan with No Preset Maximums
• Flexible Hybrid Work Schedule
• Medical/Rx Health Savings Account (HSA)
• Dental/Vision
• Short/Long-Term Disability
• Employee Assistance Program (EAP)
• 401(k) Plan
• Education Assistance