Job description:

As an Signal Processing Engineer at Exodigo, you will collaborate with exceptional talent from various disciplines to advance our core subsurface mapping technology. This role involves utilizing a blend of classical algorithms, signal processing, physics, and AI to address significant challenges in the field. You will collaborate closely with software engineers to quickly integrate your code into our production process and work alongside mechanical and hardware engineers to design and enhance our sensing platform.

Key Responsibilities:

• Develop and implement advanced signal processing algorithms to analyze data from our sensors.
• Research and apply innovative machine learning and deep learning algorithms to solve complex challenges.
• Collaborate with software teams to seamlessly integrate your algorithms into production.
• Harness physics insights and deep knowledge of the physics of our sensing platforms and propose enhanced algorithms/simulations to improve data quality.
• Design and analyze experiments with our R&D field team to quickly acquire real-world data for testing your algorithms.
  
  

Requirements:

• B.Sc. in Electrical Engineering, Physics, or a related field.
• 5+ years of experience in signal processing (DSP) or algorithm development.
• Experience with deep learning frameworks.
• Expertise in Python, including numpy, scipy, PyTorch, etc.
• Strong proficiency and intuition in electromagnetic physics
  
  

Preferred Qualifications:

• M.Sc. in relevant field
• Experience in Radar processing
• Experience in Tomography processing (MRI/CT)
• Experience with Spatial Data analysis