Chipton-Ross is seeking one AI Engineer Software 1 for a contract opportunity in Morrisville, NC.
RESPONSIBILITIES:
Defines, develops, and delivers novel mathematical and statistical modeling and algorithm development to tackle the challenges of prediction, optimization, and classification. Applies machine learning algorithms to large sets of structured and unstructured data to solve a broad range of problems that include applications in pattern recognition, target detection and tracking, machine learning and decision systems, and robotic systems. Prototypes advanced artificial intelligence techniques to stretch the capability of autonomous systems research and development programs. Designs, develops, documents, tests and debugs applications software and systems that contain logical and mathematical solutions. Collaborates with cross-functional team to deploy machine learning algorithms to prototype testing and production. Ensures software standards are met. May use system-of-systems and multi-agent approaches to architect and design AI software systems. Works closely with AI Systems Engineers to understand program intent, system capabilities, and output requirements. May design software-systems, applications, and data architectures that directly implement AI techniques to support achieving better reliability, precision, accuracy, and speed to meet performance requirements.
This position can also be filled by an AI SW Engineer/Principal AI SW Engineer depending on qualifying skillsets.
REQUIRED EXPERIENCE:
SW Engineer: Bachelors in Science with 2 years of experience in Electrical Engineering, Computer Science, Applied Physics, Applied Mathematics, or related technical fields and with applicable work experience in DSP development and/or in the design and implementation of software for DSP/SIGINT systems.
Principal SW Engineer: 5 Years of experience with Bachelors in Science; 3 Years with Masters; 0 Years with PhD.
Experience with algorithm implementations in MATLAB and software development in C, C++ and/or Python.
Applicable work experience in DSP, ML/AI, or scheduler development and/or in the design and implementation of software for related systems.
A demonstrated ability to perform innovative, applied research and develop sophisticated algorithms under computational or other resource constraints.
Proven experience with Monte Carlo analysis and physical modeling of systems.
Experience with conventional software engineering principles, including code maintenance, coding standards, and version control.
Preferred Qualifications:
Proven experience with formulating innovative solutions to algorithm development, initiating and fostering client relationships, and executing projects in compliance with cost, schedule, and technical requirements.
Proven experience in developing rapid prototype solutions from concept to design, implementation, initial testing, and integration.
Proven experience with open source computer vision and machine learning libraries
Unix/Linux operating systems, and multi-threaded/parallel computing is of additional benefit.
Proven experience with presenting and speaking at customer demonstrations, symposia, and conferences.
EDUCATION:
Bachelor’s Degree is required.
School must be accredited.
HOURS:
5/40.
MISCELLANEOUS:
Applicants responding to this position will be subject to a government security investigation and must meet eligibility requirements by currently possessing the ability to view classified government information.