Modeling/Simulation Engineer

ARA Career • Fort Wayne, IN

21h • Hybrid

About The Position

The Mission, Concepts and Capabilities (MCC) division of Applied Research Associates, Inc. (ARA) is seeking a Modeling/Simulation Engineer to join a multi-disciplinary team of engineers and scientists developing models and tools focused on modeling chemical/biological sensors and overhead persistent IR (OPIR) sensors for the Department of Defense. The ideal candidate has a passion for remote sensing, to include modeling, analysis, and exploitation of sensor data and is comfortable writing computer code. Representative tasks may include using high fidelity system models to develop performance estimates of remote sensing systems, developing new approaches for modeling sensing systems, validating simulated sensor performance against actual sensor data, and developing traditional image processing pipelines and advanced machine learning models for object detection within remote sensed data. This position will place you in a team of engineers and scientists running and developing a suite of software tools used by the remote sensing community. Our culture encourages personal and professional growth by pushing the limits of technology while creating opportunities for cross-training and mentoring within the team. Candidates must be located within, or willing to relocate to, Fort Wayne, Indiana. Hybrid work is permissible depending on the evolving project requirements. The Modeling/Simulation Engineer may be required to: Develop models that accurately represent the behavior of both point and standoff sensors Develop system level models that accurately predict the performance of sensing systems Develop image processing approaches for object detection within both simulated and real sensor data Conduct data analysis of outputs from engineering and first principles physics codes Deploy machine learning and analytics tools for operational use Support testing, evaluation, and demonstrations of software and analytics tools in unclassified and classified environments Take on new challenges and learn new skills to enhance algorithm and software performance in previously unanticipated ways

Requirements

• Bachelor’s degree 10-12 years of experience in physics, engineering, or related field
• Proficient in Matlab and Python, or other scripting languages
• Signal or image processing experience is required
• Experience in exploitation of point and remote sensing data
• US citizen
• Ability to obtain and maintain a Department of Defense secret security clearance

Nice To Haves

• Active security clearance
• Advanced degree (MS or PhD) in physics, electrical engineering, or related field
• Experience with chemical/biological sensor data extraction, exploitation, production, and quality control
• Experience in modeling and analyzing OPIR sensor data
• Experience in modeling and exploitation of sensor data from various sensing modalities (SAR, EO, TIR, LIDAR)
• Experience with C/C++, Fortran, or other compiled languages

Responsibilities

• Develop models that accurately represent the behavior of both point and standoff sensors
• Develop system level models that accurately predict the performance of sensing systems
• Develop image processing approaches for object detection within both simulated and real sensor data
• Conduct data analysis of outputs from engineering and first principles physics codes
• Deploy machine learning and analytics tools for operational use
• Support testing, evaluation, and demonstrations of software and analytics tools in unclassified and classified environments
• Take on new challenges and learn new skills to enhance algorithm and software performance in previously unanticipated ways

Benefits

• employees are our greatest assets
• employee ownership fosters greater creativity and initiative along with higher performance and customer satisfaction levels
• ARA gives its employees the tools, training, opportunities, and freedom to grow and pursue work that they are passionate about
• Employees are eligible for contributions which not only add to the company’s success, but also their own through the Employee Stock Ownership Plan (ESOP).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees