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Signal Processing Engineer at Array Labs | Palo Alto, California

Array LabsPalo Alto, California
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Bachelor's degree in Electrical Engineering, Computer Science, or a related field. Proficiency in signal processing techniques and algorithms. Experience with software development in C/C++ or Python. Strong analytical skills and problem-solving capabilities. Ability to work collaboratively in a fast-paced team environment.

About the job

Join Array Labs, a pioneering company dedicated to constructing sophisticated radar systems that enhance our understanding of the physical world.

We are set to launch an innovative fleet of radar satellites designed to generate a real-time, high-resolution 3D map of the Earth. This groundbreaking initiative will empower government and commercial entities to make informed decisions swiftly, particularly in areas such as disaster management, infrastructure resilience, and critical geopolitical intelligence.

Our commitment to excellence drives us to design and manufacture end-to-end solutions for the world’s most advanced Earth observation satellites, ensuring unparalleled accuracy and responsiveness to deliver vital insights exactly when and where they are needed.

We are currently in search of a Signal Processing Engineer to be an integral part of our team, developing the core algorithms essential for this transformative project. This role presents a unique opportunity to significantly influence the creation of a pioneering system.

As a member of our rapidly expanding engineering team, you will play a vital role in designing the most sophisticated radar satellite constellation, enhancing humanity's capability to swiftly and thoroughly comprehend the dynamics of our ever-changing planet.

About Array Labs

Array Labs is at the forefront of developing innovative radar systems that transform our understanding of the Earth. By launching a network of radar satellites, we aim to provide real-time, high-resolution data that supports critical decision-making across various sectors.

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