Sr R&D Software Engineer Engineer - Architect & Integration Scientist - Speech Technology
Phoenix, AZ
| Employer: | Honeywell |
| Category: | Engineering |
Description | |
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Join a team recognized for leadership, innovation and diversity The future is what you make it. We are seeking an experienced Senior Software Architect & Integration Scientist with expertise in real-time systems and speech processing to design and lead the development of software systems for speech anonymization. You will be responsible for the overall software architecture, ensuring the system meets performance, scalability, and real-time requirements. You will be on a R&D team that works with engineers, researchers, and product managers across Honeywell to design and evaluate state-of-the-art product concepts. While this opening emphasizes speech technology skills, future R&D efforts may require translating skills to other technology areas (e.g., biosensing, augmented reality / virtual reality / near-to-eye, aircraft flight deck automation). Are you ready to make the future with us? When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. BENEFITS: Benefits provided may differ by role and location. Learn more at benefits.honeywell.com. • 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 KEY 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 (e.g., inline comments, documentation) 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. RELOCATION PACKAGE: Generous relocation package is offered for candidates who reside 50+ miles from the designated location. U.S. 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 YOU MUST HAVE: •Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics •5+ years of experience in software architecture, integration, and real-time processing systems. WE VALUE: •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). systems for real-time streaming audio processing. •Strong knowledge on network protocols and databases (SQLite, MySQL, PostgreSQL or NoSQL) •Experience working with cloud-based ML platforms. •Experience in GPU optimization, CUDA/cuDNN, and large-scale data processing for AI models. •Ability to handle cross-platform software development (Linux, iOS). •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. •Skills in proposal writing. Additional Information
Honeywell 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. | |