Lead, Systems Engineering (Detection Algorithm Development) at L3Harris MariPro

, Indiana, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

0.0

Posted On

23 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

EO/IR Image Processing, Algorithm Development, Python, C/C++, VHDL, FPGA, GPU, Embedded Systems, OpenCV, NumPy, SciPy, PyTorch, CUDA, Modeling & Simulation, Systems Engineering, DoD Secret Clearance

Industry

Defense and Space Manufacturing

Description

Job Title: Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort Wayne, IN Job Schedule: 9/80 (Every other Friday off) Job Description: The ideal candidate for this position has extensive knowledge of EO/IR image / video processing techniques that can be implemented in low size, weight, and power (SWaP) space systems. Candidate will provide direct contributions and act as a technical lead for algorithm development, analysis, integration into flight hardware, on-orbit troubleshooting, and future pursuits. Algorithm performance plays a key role in all stages of program life cycle. Candidate needs to be comfortable working with end customers to understand requirements and capabilities define and run trade studies to meet customer requirements. Candidate will also work closely with other systems engineers to define CONOPs, ICDs, and implementation requirements. Essential Functions: Lead/support development of image and video processing algorithm solutions for space based EO/IR systems Lead/support analysis of image and video processing algorithms in support of system level trade studies, requirement compliance and system characterization. Perform modeling & simulation activities to accurately model Earth observing EO/IR systems in LEO, MEO, and GEO. Support systems engineering trade studies, CONOP development, and modeling/simulation efforts Implement custom and OpenCV-based image/video processing algorithms in FPGAs, GPUs, or embedded systems Perform rapid complex trade studies assessing a variety of algorithms to achieve optimal performance. Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. Familiar with Overhead Persistent InfraRed (OPIR) imagery and phenomenology Develop and improve instrument documentation, processes, and test procedures Support concept of operation development and requirements analysis, decomposition, and generation at various levels of the system Support requirements traceability and development of test plans to cover requirements Support integration and test of electro-optical/infrared systems and related hardware/software Provide support to engineering in developing technical specifications, interface control documents, test plans and procedures, and test conformance to specifications Qualifications: Bachelor’s Degree in engineering and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. 5+ years experience in Python, C/C++, or VHDL Professional experience implementing image/video processing algorithms in FPGAs, GPUs, or embedded systems Active DoD Secret clearance Preferred Additional Skills: Strong background in mathematics or physics Experience developing embedded software / firmware Ability to read/write C/C++ software Inter-personal and communication skills, ability to interact with a cross functional team Ability to collaborate across all levels of leadership Able to work with general direction or supervision in a demanding environment Experience with data analysis and/or modeling and simulation (e.g. with MATLAB/Python) Experience with estimating and managing costs Experience architecting, analyzing, developing, and integrating end to end systems in areas such as EO/IR, RF, or space payload and spacecraft bus subsystems Familiarity with program management, cost account management, integrated product teams #LI-KB1

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Responsibilities

Lead the development and analysis of image and video processing algorithms for space-based EO/IR systems. Coordinate with customers and systems engineers to define requirements, CONOPs, and technical specifications for flight hardware integration.