Software Engineer - AI

Overview:

Designs, develops, documents and implements appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases. Uses existing AI tools to analyze their effectiveness in code generation, and application to avionics code. Collects, cleans, preprocesses and analyzes large datasets to ensure data quality, reliability and identifies patterns, trends, and insights. Tests, documents, and debugs Artificial Intelligence models and software systems. Trains, evaluates and optimizes performance and capabilities of Artificial Intelligence models. Conducts Safety Risk Management process for Artificial Intelligence models in accordance with organizational standards. Integrates and deploys efficient and scalable Artificial Intelligence models into production environments. Monitors, validates and improves in-production Artificial Intelligence models. Partners with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms. Researches and implements current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Intelligence Design Practice(s).

Responsibilities:

• Leads design, development, documentation and implementation of appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases.

• Ability to lead and help junior engineers in accomplishing technical engineering activities.

• Familiar with automated testing methodologies and frameworks (e.g., Google Test, PyTest) to ensure rapid and efficient test execution.

• Understanding of CI/CD practices and experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) to automate and optimize workflows a plus.

• Ability to collaborate effectively with HIL teams to integrate software with hardware-in-the-loop testing environments a plus.

• Strong willingness to leverage AI tools and technologies to accelerate software development and testing processes; familiarity with AI frameworks (e.g., TensorFlow, PyTorch) is a plus.

• Experience in C, C++, Python, or modern coding languages.

• Familiarity with ADA or avionics software is a plus.

• Strong team player who enjoys collaboration and the fast-paced startup/high-tech culture.

• Excellent documentation and communication skills for effective collaboration with cross-functional teams.

Basic Qualifications (Required Skill/Experience):

• Bachelor's degree and typically 3 or more years' experience in a software engineering classification or a Master's degree with 1 year of experience in a software engineering classification.

• Must be able to work onsite in Cambridge, MA

• No relocation offered

Preferred Qualifications (Desired Skills/Experience):

• Education or experience in AI Algorithms and/or use of AI Tools

• Ability to obtain a U.S. Security Clearance if sponsored.

*Please note that assignment durations, pay rates, and job duties are subject to our Client’s business needs and project requirements.

*We may use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision-making in the hiring process.