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.