Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors.
We are experiencing sky-rocketing growth and closed a historically large $105M Series A round in February of 2024.
Our Algorithms team, a highly multidisciplinary group, is at the heart of our data processing and detection capabilities, encompassing physics, signal processing, classical algorithms, and AI models tailored to our unique requirements.
As an Junior Algorithm Developer 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, AI, and programming to address significant challenges in the field. You will collaborate closely with algorithm developers and 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.
We’re looking for a driven, high-impact individual who’s ready to work hard, tackle challenges head-on, and make a mark from day one.
Key Responsibilities:
- Develop and implement advanced signal processing algorithms to analyze data from our sensors.
- Analyze, troubleshoot, and optimize the performance of our algorithmic pipeline, including occasional bug fixes to ensure robust and efficient operation.
- 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.
- Research and apply innovative machine learning and deep learning algorithms to solve complex challenges.
- B.Sc. in Electrical Engineering, Physics, or a related field.
- 1+ Experience in signal processing (DSP) and algorithm development.
- Experience with deep learning frameworks.
- Expertise in Python, including numpy, scipy, PyTorch, etc.
- 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
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