Overview
On Site
Full Time
Skills
IT Management
TLE
DevSecOps
Engineering Support
Data Quality
Risk Management
Emerging Technologies
Software Development
Testing
TensorFlow
PyTorch
C
C++
Python
ADA
Avionics
Startups
Documentation
Communication
Collaboration
Software Engineering
Mergers and Acquisitions
Algorithms
Artificial Intelligence
Security Clearance
Computer Science
Mathematics
Physics
Chemistry
Job Details
This posting is for a contract assignment and is not a full-time employment offer with Boeing. Candidates selected for roles will be employed as contract workers through a Boeing approved 3rd party for the duration of the specified project.
Job Description
The Boeing Company is seeking a broad range of experience levels including; Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level DevSecOps Software Engineers who will provide engineering support for a new SW engineering initiative involving AI tools.
This position will be physically located in Cambridge, MA.
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).
Experienced (Level 3)
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.
Typical Education/Experience:
Experienced (Level 3)
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 3 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+1 years' related work experience).
Job Description
The Boeing Company is seeking a broad range of experience levels including; Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level DevSecOps Software Engineers who will provide engineering support for a new SW engineering initiative involving AI tools.
This position will be physically located in Cambridge, MA.
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).
Experienced (Level 3)
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.
Typical Education/Experience:
Experienced (Level 3)
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 3 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+1 years' related work experience).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.