Software Engineer-Artificial Intelligence - MA Security Clearance
Job in
Cambridge, Middlesex County, Massachusetts, 02138, USA
Listed on 2026-02-17
Listing for:
Artech Information Systems
Full Time
position Listed on 2026-02-17
Job specializations:
-
Software Development
AI Engineer, Software Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Title:
Software Engineer
Location:
Cambridge, MA Duration: 12+ Months Pay Range: $90 Hr. to 100 Hr. We are seeking a broad range of experience levels including Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level Dev Sec Ops Software Engineers. This role involves providing engineering support for a new software engineering initiative involving AI tools. The position will be physically located in Cambridge, MA.
Responsibilities
* Design, develop, document, and implement appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools, considering ethical implications and potential biases.
* Analyze the effectiveness of existing AI tools in code generation and their application to avionics code.
* Collect, clean, preprocess, and analyze large datasets to ensure data quality, reliability, and identify patterns, trends, and insights.
* Test, document, and debug Artificial Intelligence models and software systems.
* Train, evaluate, and optimize the performance and capabilities of Artificial Intelligence models.
* Conduct Safety Risk Management processes for Artificial Intelligence models in accordance with organizational standards.
* Integrate and deploy efficient and scalable Artificial Intelligence models into production environments.
* Monitor, validate, and improve in-production Artificial Intelligence models.
* Partner with cross-functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms.
* Research and implement current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contribute to Artificial Intelligence Design Practice(s). Senior Level Responsibilities
* Lead 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.
* Guide and assist junior engineers in accomplishing technical engineering activities.
* Utilize automated testing methodologies and frameworks (e.g., Google Test, PyTest) to ensure rapid and efficient test execution.
* Understand CI/CD practices and experience with CI/CD tools (e.g., Jenkins, Git Lab CI/CD) to automate and optimize workflows is a plus.
* Collaborate effectively with HIL teams to integrate software with hardware-in-the-loop testing environments is a plus.
* Leverage AI tools and technologies to accelerate software development and testing processes; familiarity with AI frameworks (e.g., Tensor Flow, PyTorch) is a plus.
* Experience in C, C++, Python, or modern coding languages.
* Familiarity with ADA or avionics software is a plus.
* Be a strong team player who enjoys collaboration and the fast-paced startup/high-tech culture.
* Possess 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 of 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.
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. Typical Education/Experience
* Senior Level: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics, or chemistry (e.g., Bachelor) and typically 5 or more years of related work experience or an equivalent combination of technical education and experience (e.g., PhD with 1 year of related work experience, Master with 3 years of related work experience).
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