Scientist (EO/IR Image Analysis) Verified today

Rocket Lab · Tucson, AZ · Payload · first seen 2026-10-12

About This Role

Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. As a Scientist of EO/IR image analysis and pattern recognition in Tucson, AZ, you will develop, validate, and deploy algorithms for advanced image processing, object detection, and tracking on EO/IR space payloads.

What You Will Do

  • Develop, validate, and optimize algorithms for EO/IR sensor data, including image processing techniques such as noise reduction, image enhancement, image registration, correction, and pattern recognition.
  • Apply pattern recognition techniques to detect, classify, and track objects in EO/IR data for mission-critical applications.
  • Build and enhance modeling and simulation libraries, including development and utilization of image simulators to generate synthetic EO/IR data for algorithm development, testing, and validation.
  • Support and enhance existing operational programs, including maintaining and improving deployed algorithms, troubleshooting fielded systems, and ensuring ongoing system performance and reliability.
  • Implement and test algorithm improvements in deployed systems to support ongoing mission needs.
  • Apply strong programming skills in MATLAB, Python, and C/C++ to develop robust solutions for real-world mission problems.
  • Analyze large and complex EO/IR datasets to extract features, identify patterns, and assess algorithm performance.
  • Develop and document software tools for data collection, analysis, and performance assessment.
  • Decompose high-level customer requirements into algorithm and subsystem requirements to inform software and systems engineering execution.
  • Document and present algorithm performance results to technical and non-technical stakeholders, including government customers.
  • Attend technical interchange meetings and represent the organization in matters pertaining to project development.
  • Provide status on assigned tasks and program schedules.
  • Support travel or off-site work as needed.

What You Will Bring

  • Bachelor's degree in physics, optical sciences, computer science, mathematics, electrical engineering, or a related technical discipline with demonstrated experience in image processing or EO/IR systems.
  • 12 or more years of professional experience.
  • Demonstrated experience with MATLAB, Python, and/or C/C++ for analysis, modeling, simulation, or algorithm development.
  • Strong experience designing, implementing, testing, and optimizing algorithms for EO/IR sensors, with a focus on image processing and pattern recognition.
  • Strong written and verbal communication skills, with the ability to document technical work and present results to diverse audiences.
  • Ability to contribute to the completion of programs and project milestones.
  • Active U.S. Government Security Clearance with TS/SCI eligibility; U.S. citizenship required.

Nice to Have

  • Master's degree or PhD in physics, optical sciences, computer science, mathematics, electrical engineering, or a related technical discipline.
  • Experience with pattern recognition methods for EO/IR applications, including feature extraction, classification, and tracking.
  • Experience with sensor calibration procedures (radiometric, geometric, temporal) for EO/IR systems.
  • Expertise in modeling and simulation, including multiple EO/IR phenomenologies.
  • Experience across all phases of product development, including proposal design architectures, requirements generation, design development, integration, verification, and transition to production.
  • Experience managing or leading others in a technical and/or functional capacity within an engineering environment.

Working Conditions

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.