Responsibilities
- Develop and apply state estimation algorithms and sensor fusion models to process multi-modal data streams from remote sensing platforms.
- Analyze and interpret complex sensor data feeds (e.g., radar, EO/IR, RF) and real-time messaging services to enable situational awareness.
- Model system behavior under dynamic conditions using tools such as Kalman filters, particle filters, and Bayesian inference techniques.
- Collaborate with multidisciplinary engineering, analytics, and mission teams to support rapid prototyping and operational systems development.
- Support identification and characterization of advanced threats and adversarial tactics through data analysis and pattern recognition.
- Translate technical findings into actionable insights and communicate effectively with both technical and non-technical stakeholders.
- Stay current with advancements in applied data science, AI/ML, and sensor processing technologies.
Basic qualifications
- Bachelor's or Master's degree in Mathematics, Statistics, Physics, Aerospace Engineering, or a related quantitative field. With 6-8 years of related experience, or a Master of Science degree with 4-6 years of experience, or a PhD with 2-4 years of experience
- Hands-on experience with sensor fusion techniques and state estimation algorithms (e.g., Kalman filters, SLAM, tracking filters).
- Strong understanding of remote sensing phenomenology, including knowledge of radar, lidar, or electro-optical systems.
- Experience with real-time messaging architectures (e.g., ZeroMQ, DDS, Kafka).
- Familiarity with advanced threat modeling and detection strategies in the context of national defense or intelligence.
- Proficiency in programming languages such as Python, MATLAB, or C++, with experience in scientific computing or simulation environments.
Preferred qualifications
- Experience working on DoD or government-sponsored R&D projects.
- Prior exposure to operational military systems, UAS, or ISR platforms.
- Knowledge of AI/ML tools for signal and sensor data exploitation.
- Experience with time-series databases and geospatial data processing.
Benefits
- The starting salary range for this position has been established as $114,000 – $160,000
- Medical Insurance and Prescription
- Dental Insurance
- Vision Insurance
- Life and AD&D Insurance
- Short-Term/Long-Term Disability Insurance
- Employee Assistance Program (EAP)
- Voluntary Critical Illness and Accident Insurance
- Tuition Reimbursement Assistance
- Paid Leave
- Paid Holidays
- Bereavement Leave
- Retirement Plan
- Our teams at CTC are passionate and thrive on collaboration in a team environment
- When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges
- Competitive salary and benefits package
- Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life ·
- Visit www.ctc.com (http://www.ctc.com/) to learn more
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