APEX TK is seeking a highly motivated and skilled Radar Signals Engineer to join our team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain.
Responsibilities:
Work with our modeling and simulation team to conduct a wide variety of analyses in support of government satellite programs in Earth orbits
Develop new Machine Learning (ML) algorithms for applications such as
Using optical and radar space-surveillance sensors to recognize different types of satellites
Scheduling space surveillance sensor networks to find, recognize and track maneuvering satellites
Deciding what activities satellites should undertake
Algorithm development will include steps such as
Conducting Exploratory Data Analysis (EDA) to identify patterns
Designing, developing, and evaluating machine learning algorithms, including supervised, unsupervised, and reinforcement learning
Building, training, and tuning predictive models
Collaborating with cross-functional teams to identify and solve problems
Implementing and optimizing algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering
Developing High Performance Computing pipelines for scalability and monitoring
Work with satellite designers and operations planners
Work with experts in astrodynamics, sensors, AI/ML, High Performance Computing (HPC)
Use programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones
Conduct independent trade studies and technical assessments
Review and validate algorithms and results provided by external teams
Develop and present actionable technical briefings
Required Qualifications:
2-10 years of relevant experience.
Bachelor’s Degree in a STEM related field such as Engineering, Mathematics, Physics, Aerospace, Computer Science, etc.
Active Top Secret/SCI w/ CI Poly Clearance
Experience performing space-related engineering analysis (collecting, organizing, analyzing data) using one or more of the following: C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK
Ability to communicate findings and recommendations to internal and external customers
Preferred Qualifications:
Master's degree in a STEM related field.
Experience with other simulation tools and programming languages.
Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.
Summary
Develops machine learning algorithms for satellite recognition, sensor network scheduling, and satellite activity decisions using Python, C++ and related tools. Requires 2-10 years of relevant experience, a bachelor's degree in a STEM field, and an active Top Secret/SCI clearance with CI polygraph.
Responsibilities
Conduct satellite program analyses; develop ML algorithms for satellite recognition, sensor scheduling, and satellite activity decisions; EDA; model training/tuning; HPC pipelines; trade studies; validate external algorithms; present technical briefings.
Qualifications
2-10 years relevant experience; Bachelor's in STEM; active Top Secret/SCI with CI Poly clearance; space-related engineering analysis using C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK; ability to communicate findings. Preferred: Master's in STEM; other simulation tools/programming languages; phenomenological models experience.
Education requirements
Bachelor's Degree in a STEM related field; Master's preferred.
Experience requirements
2-10 years of relevant experience.