Senior Software Engineer, Estimation & Filtering

Responsibilities

• Define and influence the direction of a small team using subject-matter expertise in target tracking and state estimation.
• Prototype and deploy algorithms for tracking, multi-sensor data fusion, and state estimation.
• Develop high-performance software for real-time tactical systems, simulations, and decision-support tools.
• Design robust filters, estimators, and probabilistic reasoning systems for noisy or incomplete sensor data.
• Analyze system performance using simulations, modeling tools, and statistical techniques.
• Customize algorithms and software for mission-critical customer use cases.
• Integrate tracking and estimation technologies from requirements definition through testing and optimization.
• Communicate technical progress and actionable insights to colleagues and end-users.

Requirements

• Proficiency in algorithm design, software development, and statistical modeling using C/C++, Python, and Matlab.
• Strong knowledge of target tracking techniques including Kalman filters, particle filters, JPDA, MHT, and PHD filters.
• Experience with state estimation, Bayesian filtering, sensor fusion, and recursive estimation.
• Understanding of linear algebra, optimization, probability, and stochastic processes.
• Knowledge of signal processing for radar, lidar, and EO/IR sensor data.
• Familiarity with big data pipelines, NoSQL databases, and large-scale sensor data handling.
• Background in machine learning for target tracking and recognition, including clustering, classification, and anomaly detection.
• Ability to engineer systems involving estimation theory, adaptive filtering, controls, and complex signal environments.
• Demonstrated experience across software development lifecycles from prototyping through production optimization.
• Eligibility to obtain and maintain an active U.S. Top Secret security clearance.
• Applicants are asked to provide transcripts or detailed information about relevant academic performance, projects, and coursework.

Benefits

• Competitive benefits package available at little to no cost to employees.
• Benefits support health, recovery, and other employee needs.
• Highly competitive equity grants are included in the majority of full-time offers.