Applied Radar Signal Processing Engineer – Associate Staff

MIT Lincoln Laboratory

Lexington (MA)

On-site

USD 116,400 - 182,200

Full time

14 days+

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Benefits offered by this job

Health plans
Pension
401K
Paid leave
Tuition reimbursement
Work-life balance

Job summary

MIT Lincoln Laboratory in Lexington, MA is seeking a Radar Signal Processing Engineer-Associate Staff to join our Airborne Radar Systems and Techniques group. You will help design, simulate, implement and optimize signal and image processing algorithms for world-class sensor systems.

This role welcomes early career candidates; requires a strong background in Electrical Engineering, Computer Engineering, Mathematics, or Physics, and proficiency in MATLAB, Python, or C/C++.

Qualifications

  • Master's degree or equivalent with relevant field experience.
  • Experience with MATLAB, Python, or C/C++ and standard data/signal/image processing libraries.
  • Ability to work both independently and in a team.
  • Strong communication of research goals and results.

Responsibilities

  • Collaborate on design, simulation, implementation, and optimization of signal and image processing algorithms.
  • Analyze data sets to extract insights and evaluate algorithm performance.
  • Contribute to experiments with ground-based and airborne sensors.
  • Prepare technical documents, test plans, and presentations.

Skills

MATLAB
Python
C/C++
Data analysis
Signal processing
Machine learning libraries
Communication skills

Education

Master's degree in Electrical Engineering, Computer Engineering, Mathematics, Physics, or related field
Bachelor's degree with 3 years relevant experience

Tools

RFSoC
FPGAs
CPU/GPUs
Oscilloscopes
Spectrum analyzers

Job description

MIT Lincoln Laboratory in Lexington, MA is seeking a Radar Signal Processing Engineer-Associate Staff to join our Airborne Radar Systems and Techniques group. You will help design, simulate, implement and optimize signal and image processing algorithms for world-class sensor systems.

This role welcomes early career candidates; requires a strong background in Electrical Engineering, Computer Engineering, Mathematics, or Physics, and proficiency in MATLAB, Python, or C/C++.

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