Array Labs builds advanced radar systems to help humanity understand and respond to changes across the physical world. We’re launching a coordinated fleet of radar satellites to create a high-resolution 3D map of the Earth – updated in real time – enabling faster, smarter decision-making for government and commercial organizations supporting disaster response, infrastructure resilience, and mission-critical geopolitical intelligence. We design and build our satellites end-to-end, producing the world’s most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness to power critical insights precisely where they’re needed most.

About the Job As a 3D Reconstruction Scientist on this team, you will develop and deploy algorithms that reconstruct 3D structure from distributed radar and optical sensors. You’ll work on multi-view geometry, tomography, and large-scale inverse problems, and you’ll be responsible for taking methods from prototype to production on real satellite data. The approaches you design will directly set the limits on the resolution, accuracy, and reliability of Array’s 3D products.

As part of our quickly growing engineering team, you will play a critical role in the design of the world’s most advanced radar satellite constellation—one that will significantly improve humanity’s ability to rapidly and comprehensively understand our changing planet.

Responsibilities

• Research, design, and implement tomographic algorithms for 3D image reconstruction utilizing complex phase-history data from radar and optical sensors
• Develop autofocus techniques to sharpen images affected by inaccurate position knowledge of the sensor platform, and/or phase inaccuracies caused by various hardware imperfections in our distributed sensor system
• Develop efficient data preprocessing and calibration techniques to enhance the quality and accuracy of 3D reconstructions
• Optimize algorithms for near real-time production of 3D imagery in our cloud-based production pipeline
• Collaborate with cross-functional teams to integrate 3D image reconstruction solutions into our products and services
• Conduct thorough testing, validation, and performance evaluation of 3D image reconstruction algorithms to ensure they meet end-user expectations

Basic Qualifications

• Bachelor’s in Computer Science, Electrical Engineering, or a related field
• 4+ years of experience in 3D image reconstruction, 3D computer vision, multi-view geometry or a related field
• Excellent teamwork and communication skills
• Learns new concepts rapidly, completely, and in a self-directed manner
• High levels of self-motivation and personal accountability
• Ability to work in a fast-paced environment under significant time constraints
• Proficient in Python, MATLAB, or C/C++

Preferred Qualifications

• Master’s degree in Computer Science, Electrical Engineering, or a related field
• 2+ years of experience deploying 3D image processing/generation algorithms into production pipelines
• 2+ years of experience in one or more of the following areas:
• signal processing for tomographic SAR and/or interferometric SAR
• Depth estimation using stereo images, multi-view geometry, or optical flow
• Generating 3D images from 2D sensors.
• Estimation theoretic approaches to 3D localization
• Ambiguity resolution for 3D localization
• Experience adapting image processing algorithms for GPU clusters
• Experience with stochastic and adaptive signal processing techniques
• Experience extracting insights from 3D data products via AI/ML techniques
• Experience creating 3D data products from geospatial data sets is a plus

ITAR Requirements:

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Equal Opportunity Employer:

• Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.

USD 150,000 - 300,000 a year