Graduate - Engineer​/Analyst ISRT and BMCApplications

Are you interested in researching, developing, and analyzing innovative ways to produce impactful information from many different types of sensors and sources of data?

Would you like to advance your ideas from concept to prototype to field testing on US military ships, aircraft, satellites, and ground systems?

Would you take satisfaction in developing advanced capabilities that will be used by US military personnel to achieve their missions in Intelligence, Surveillance, Reconnaissance, and Targeting (ISRT) and Battle Management Command and Control (BMC2)?

If so, and if you are graduating with a Bachelor's or Master's degree in Engineering, Applied Mathematics, Computer Science, Physics, Geology or another related field, we'd love to have you join our team at APL!

We are seeking creative engineers, scientists, mathematicians, and programmers to help us conceptualize, develop, test, assess, and field the next generation of ISRT and Counter-ISRT capabilities for the US military. Our team applies disciplines such as sensor and data fusion, signal and image processing, operations research, applied physics, machine learning, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments.

Our work enables the US military to neutralize a wider variety of serious threats from safer distances than they could otherwise accomplish; improves the safety, survivability, and effectiveness of US air, naval, and ground forces; and disrupts the ability of potential adversaries to threaten our forces.

As an Engineer/Analyst for ISRT and BMC2 Scientific Applications, you will

• Contribute to teams developing algorithms, mathematical-physical models, software prototypes, and deployable software applications for ISRT applications.
• Develop new modeling, simulation, and analytical methods and tools.
• Develop new multi-sensor data fusion, and multi-sensor resource optimization techniques.
• Develop and analyze new ISRT and BMC2 concepts and architectures.
• Plan, execute and conduct data analysis for field tests and experiments.
• Collaborate with teams to develop user interfaces, visualizations, and network/web services.
• Present your results to project leads, sponsors, and technical workshops and conferences.

You meet our minimum qualifications for the job if you...

• Have a Bachelor’s degree in Engineering, Applied Mathematics, Computer Science, Physics, Geology or another related field.
• Have skills and experience developing scientific and engineering applications in programming languages such as MATLAB, Python, C++, and Java and in Linux environments.
• Have strong interpersonal and written communications skills.
• Have the ability to work and collaborate effectively in a team environment.
• Have the ability to multi-task, support multiple, concurrent projects, and adapt to changing circumstances.
• Are willing and able to work a portion of the time in secure, closed areas and travel occasionally to government sites and contractor facilities (local and non-local).
• Are able to ultimately obtain a Top-Secret SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you...

• Have a Master’s degree in Engineering, Applied Mathematics, Computer Science, Physics, or another related field.
• Have significant internship experience, in a relevant technical field.
• Have skills and experience implementing complex modeling and simulation scenarios and analyzing results.
• Have skills and experience developing software from conceptualization to fully functional applications.
• Have skills and experience with test and evaluation techniques at unit, bench, system and system of system level.
• Have skills and experience with resource management and optimization, pattern of life inferencing, pattern recognition, machine learning, and artificial intelligence techniques as applied to system of system…