Algorithm and Analysis Software Engineering Scientist Associate

The University of Texas at Austin•Austin, TX

4d•Onsite

About The Position

Purpose Support applied research and development programs through algorithm development and implementation in disciplines such as signal processing, statistical and mathematical modeling, and acoustical modeling and simulation for the Advanced Technology Laboratory (ATL).

Requirements

Bachelor's degree in engineering, computer or information sciences, physics, math, or related technical area.
Demonstrated ability in scientific algorithm code implementation and/or scientific modeling and data analysis in any MATLAB/Python/C++, etc.
Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks.
The position will require attention to detail, effective problem-solving skills and excellent judgment.
Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with all groups of clients.
Able to work under pressure and accept supervision.
Regular and punctual attendance.
US Citizen.
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

Nice To Haves

Advanced degree in physics, math, computer or information sciences, engineering, operations research, or related technical area.
Two or more years of applied programming for scientific algorithm development, modeling and simulation, and/or scientific data analysis.
Additional experience in the areas mentioned in the required qualifications.
Experience with physical modeling, acoustics, signal processing and/or sonar; real-time modeling and simulation; detection, localization, tracking and classification algorithms and applications; applied mathematics, uncertainty modeling and/or statistics; writing software using multiprocessing, multithreaded, and/or CUDA capabilities; and developing in a Linux environment with version control software such as git.
Proven ability to work independently, formulate research questions, and take initiative.
Eligibility for immediate access to classified information.
Cumulative GPA of 3.0.
Cumulative GPA of 3.0.

Responsibilities

Conduct algorithm development and implementation, analysis, modeling, and simulation in various disciplines such as signal processing, statistical and mathematical modeling, and acoustical modeling and simulation.
Prototype scientific algorithms for proof of concept, validation, and software implementation.
Support performance evaluation and coding of algorithms into next-generation modeling and production systems.
Support acoustic modeling and simulation for training and prediction.
Other related functions as assigned.