2-10 years of relevant experience in radar signals engineering or related fields.
Bachelor's Degree in a STEM discipline (Engineering, Mathematics, Physics, Aerospace, Computer Science).
Active Top Secret/SCI clearance with CI Poly.
Proficiency in programming languages such as C++, Python, R, SQL, or MATLAB.
Strong communication skills for presenting findings to stakeholders.
Responsibilities
Collaborate with modeling and simulation teams for satellite program analyses.
Develop innovative Machine Learning algorithms for satellite recognition and tracking.
Conduct Exploratory Data Analysis to uncover data patterns.
Design and evaluate machine learning algorithms across various learning types.
Build and optimize predictive models for tasks like anomaly detection and classification.
Create High Performance Computing pipelines for enhanced scalability.
Engage with satellite designers and operations planners for project alignment.
Benefits
Opportunity to work on cutting-edge aerospace projects.
Engagement with a critical government client.
Collaboration with experts in astrodynamics and AI/ML.
Access to advanced simulation tools and technologies.
Potential for professional growth in a high-stakes environment.
Full Job Description
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.
