RESEARCH ANALYST - RESEARCH ENGINEER - Artificial Intelligence

Qualifications

• Requires a Masters degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Artificial Intelligence, Systems Engineering, Physics or directly related degree field with a focus on UAS, Avionics, AI, and or Machine Learning

• 2+ years with a Masters; 3 years with a Bachelors degree: Machine Learning as applied to Data Science and technology

• 2+ years: Developing AI and other software in Python, Tensor Flow, Keras, PyTorch

• 2+ years: Developing firmware

• A valid/clear driver's license is required

• Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information

• Applicant must be a U.S. citizen

Benefits

• Salary Range: $82,950 - $138,278

Responsibilities

• Develop advanced proven Physics-based AI/ML algorithms/models

• Support innovating/cutting edge research in the areas of AI as applied to Systems and or UAS/Avionics subsystems

• Be the system architect for AI development

• Work with multidisciplinary staff (scientists, analysists and engineers) to delivery cutting edge AI solutions to programs

• Write proposals, articles, and attend conferences

• Develop Solutions for AI systems and embedded Avionics systems and subsystems

• Develop Solutions for Aircraft AI/ML sensor fusion

• Review AI/ML algorithms to verify/validate it meets integrated design requirements

• Monitor all AI progress on projects and research

• Integrate with a multidisciplinary engineering team to develop AI related hardware

Full Description

Who We Are:

The Strategic Aerospace Department Office of the Director provides guidance and direction to a multi-disciplinary team of engineers that provides cutting edge engineering development services to the USAF. This position has the option of being a fully remote in the following states: AL, AZ, AR, CO, Dis. of Columbia, FL, GA, MA, MI, MN, NH, NC, NJ, MD, OH, OK, OR, TX, UT, VA, WV only.

The alternate work location is San Antonio, Tx.

Objectives of this Role:

• Develop advanced proven Physics-based AI/ML algorithms/models.

• Support innovating/cutting edge research in the areas of AI as applied to Systems and or UAS/Avionics subsystems.

• Be the system architect for AI development.

• Work with multidisciplinary staff (scientists, analysists and engineers) to delivery cutting edge AI solutions to programs.

• Write proposals, articles, and attend conferences.

Daily and Monthly Responsibilities:

• Develop Solutions for AI systems and embedded Avionics systems and subsystems.

• Develop Solutions for Aircraft AI/ML sensor fusion.

• Review AI/ML algorithms to verify/validate it meets integrated design requirements.

• Monitor all AI progress on projects and research.

• Integrate with a multidisciplinary engineering team to develop AI related hardware.

Requirements:

• Requires a Masters degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Artificial Intelligence, Systems Engineering, Physics or directly related degree field with a focus on UAS, Avionics, AI, and or Machine Learning.

• 2+ years with a Masters; 3 years with a Bachelors degree: Machine Learning as applied to Data Science and technology.

• 2+ years: Developing AI and other software in Python, Tensor Flow, Keras, PyTorch.

• 2+ years: Developing firmware.

• A valid/clear driver's license is required.

• Salary Range: $82,950 - $138,278

Special Requirements:

Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Applicant must be a U.

S. citizen.

Job Locations: San Antonio, Texas Or Remote

For more information about this division, visit the Defense & Intelligence Solutions home page.

For benefits information at our San Antonio location, click here.

For benefits information at all other locations, click here.

An Equal Employment Opportunity Employer: race, color, religion, sex (including pregnancy, childbirth, and related medical conditions, transgender status, and sexual orientation), national origin, age, disability, veteran, or genetic information