3D Reconstruction Scientist

At Array Labs, we build advanced radar satellite constellations that generate high-resolution 3D maps of the Earth. Our mission is to provide lidar-like 3D data and imagery from space for customers in infrastructure, industrial operations, autonomy, and national security.

Our system is vertically integrated: we design radar payloads, fly clusters of satellites, and operate the processing pipeline that turns raw multi‑static radar measurements into geo‑referenced 3D products. The Image Formation team owns the algorithms and software that sit in the middle of this stack — system models, reconstruction methods, and the large‑scale processing systems that make the data usable at production scale.

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.

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 Skills and Experience:

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.

Interview Process
We will conduct three interviews via Zoom; the typical process takes around 2-4 weeks to complete from start to finish.

Hiring and Compensation Strategy
Our hiring and compensation strategy is simple:

find uncommonly good people

pay them uncommonly well

You can anticipate competitive pay, with high flexibility between salary and equity‑based compensation.

Why you should joinArray Labs
Array Labs is launching a constellation of satellites to create the first high‑resolution, real‑time, three‑dimensional model of Earth. Our next‑generation satellite technology will offer image quality 60x greater than traditional techniques, profoundly expanding humanity’s ability to understand and respond to events on a global scale.

In forging an affordable, accessible, accurate representation of Earth, our work has the potential to transform the face of dozens of fields, including autonomy, telecommunications, disaster relief, gaming, climate science, defense and construction.

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