Role Summary
* In this role, you will design, develop, test, and deploy Artificial Intelligence algorithms and models, analyze large datasets, and ensure the reliability and performance of AI systems. You will collaborate with cross-functional teams, integrate software with hardware-in-the-loop testing, and provide guidance to junior engineers while applying best practices for ethical AI deployment and software engineering. Education & Job Requirements
* Bachelor’s degree in engineering, computer science, mathematics, physics, or chemistry with typically 3 or more years of experience in software engineering; or a Master’s degree with typically 1 year of experience.
* Ability to work onsite in Cambridge, MA; remote badging will be required.
* Experience with C, C++, Python, or modern programming languages. Professional Attributes
* Strong analytical and problem-solving skills.
* Excellent verbal and written communication for effective collaboration with cross-functional teams.
* Ability to work independently and as part of a team in a fast-paced environment.
* Strong attention to detail and quality in design, coding, and testing. Preferred Skills
* Education or experience in AI algorithms and/or use of AI tools.
* Familiarity with AI frameworks such as TensorFlow or PyTorch.
* Experience with CI/CD practices and tools (e.g., Jenkins, GitLab CI/CD).
* Familiarity with automated testing methodologies and frameworks (e.g., Google Test, PyTest).
* Experience with ADA or avionics software is a plus.
* Ability to mentor or lead junior engineers in accomplishing technical engineering activities. Job Duties & Functions
* Design, develop, document, and implement Artificial Intelligence algorithms and models.
* Collect, clean, preprocess, and analyze large datasets to ensure quality and reliability.
* Test, debug, and optimize AI models and software systems.
* Conduct Safety Risk Management for AI models according to organizational standards.
* Integrate AI models into production environments and monitor their performance.
* Collaborate with cross-functional teams and domain experts to gather requirements and iterate on AI algorithms.
* Research and implement emerging AI technologies, tools, frameworks, and regulations.
* Lead and mentor junior engineers in AI software engineering practices.
* Participate in hardware-in-the-loop testing and software integration as needed. Physical Requirements & Environment
* Work is performed onsite.
* Regular and predictable attendance required.
* Standard office and lab environment with minimal physical demands.
* Work hours: 9:00 AM – 5:00 PM, first shift.