Signal Processing Engineer

Job Summary

Transforming raw time-series sensor data into actionable insights, the full-time salaried Signal Processing Engineer (RF/Acoustics) will design and develop signal processing pipelines and machine learning models, while collaborating with engineering experts in a fully remote environment.

Key responsibilities:

• Design and develop signal processing pipelines and machine learning models for RF and acoustic data
• Evaluate algorithm performance and perform exploratory data analysis on raw sensor data
• Collaborate with cross-functional teams to translate operational challenges into data science solutions

Required qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, or a related field
• 5+ years of professional experience in data science, machine learning, or applied signal processing
• Hands-on experience with time-series and signal processing techniques
• Proficiency in Python and relevant scientific computing libraries
• Direct industry experience in Aerospace, Telecommunications, or Military/Defense communications