Scientist (EO/IR)

Rocket Lab; Tucson (AZ); On-site; USD 140,000 - 190,000; Full time

Job summary

Rocket Lab Optical Systems in Tucson, AZ seeks a Scientist to develop, validate, and deploy advanced EO/IR image analysis and pattern recognition algorithms for space payloads. You will work on noise reduction, image enhancement, registration, and feature extraction, applying MATLAB, Python, and C/C++ to real-world government missions.

The role requires a TS/SCI eligible clearance, US citizenship, and 12+ years of experience, with strong communication skills and a track record in modeling and

Qualifications

• Bachelor's degree in a technical discipline with demonstrated image processing experience.
• Active U.S. Government Security Clearance with TS/SCI eligibility; U.S. citizenship required.
• 12+ years of professional experience.
• Experience with MATLAB, Python, and/or C/C++ for analysis, modeling, simulation, or algorithm development.
• Strong experience designing, implementing, testing, and optimizing EO/IR algorithms.
• Excellent written and verbal communication skills; ability to report results to diverse audiences.
• Ability to contribute to program milestones and customer deliverables.

Responsibilities

• Develop, validate, and optimize algorithms for EO/IR sensor data and pattern recognition.
• Build and enhance modeling and simulation libraries and synthetic EO/IR data generation.
• Maintain and improve deployed algorithms, troubleshoot fielded systems, and ensure performance.
• Implement and test algorithm improvements in deployed systems to meet mission needs.
• Document and present algorithm performance results to government customers and stakeholders.
• Decompose customer requirements into algorithm and subsystem requirements for software execution.

Skills

Image processing

EO/IR systems

Pattern recognition

Algorithm development

Education

Bachelor's degree in physics/optical sciences/CS/math/EE or related

Master's degree or PhD in related field (nice to have)

Tools

MATLAB

Python

C/C++

Job description

Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.

As a Scientist of EO/IR image analysis and pattern recognition for Rocket Lab Optical Systems worksite in Tucson, AZ, you will develop, validate, and deploy algorithms for advanced image processing, object detection, and tracking EO/IR space payloads.

WHAT YOU’LL GET TO DO

• Develop, validate, and optimize algorithms for EO/IR sensor data, including a broad range of 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 the development and utilization of image simulators to generate synthetic EO/IR data for algorithm development, testing, and validation in support of EO/IR payload missions.
• 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 (MATLAB, Python, 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.

YOU’LL BRING THSES QUALIFICATIONS AS A SCIENTIST

• 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.
• Active U.S. Government Security Clearance with TS/SCI eligibility; U.S. citizenship required.
• 12+ 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.

THESE QUALIFICATIONS WOULD BE 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.

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.