Technical SETA SME – Imagery & Sensing

M1 Technology; Bethesda (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

M1 Technology, LLC is seeking a Technical SETA SME - Imagery Science to join one of our Bethesda, Maryland subsidiaries. The role demands TS/SCI with Polygraph clearance and leadership of multi-disciplinary R&D or T&E efforts in advanced sensing.

Required are a technical bachelor’s degree with 6+ years of relevant work and deep knowledge of EO/IR, RF sensing, signal processing, and ML-driven analysis. On-site collaboration and program planning will be key parts of the job.

Qualifications

• Bachelor’s degree in a technical field; Master may substitute for 2 years experience.
• 6+ years of experience in EO/IR, microwave, RF, or infrared systems.
• Experience with signal processing, ML algorithms, testing, or analysis.
• Experience with test/measurement equipment such as spectrum analyzers, oscilloscopes, RF test platforms, etc.
• Experience with telecommunications systems, RF sensing, biometric sensing modalities, or advanced sensor design.
• Experience leading a multi-disciplinary R&D or T&E team; creating program plans & milestones.

Responsibilities

• Lead a multi-disciplinary R&D or T&E team.
• Develop program plans, work breakdown structures, and milestones.
• Evaluate EO/IR sensor systems and advise on integration and testing.

Skills

EO/IR systems

RF sensing

Signal processing

Machine learning

Test & measurement

R&D leadership

Education

Bachelor’s degree in a technical field

Master’s degree replaced by experience

PhD (preferred in related fields)

Tools

LabVIEW

Python

MATLAB

C/C++

Embedded systems

Job description

M1 Technology, LLC is seeking a Technical SETA SME - Imagery Science to join one of our Bethesda, Maryland subsidiaries. The role demands TS/SCI with Polygraph clearance and leadership of multi-disciplinary R&D or T&E efforts in advanced sensing.

Required are a technical bachelor’s degree with 6+ years of relevant work and deep knowledge of EO/IR, RF sensing, signal processing, and ML-driven analysis. On-site collaboration and program planning will be key parts of the job.