---
title: '3D Reconstruction Scientist at Array Labs'
canonical: 'https://feeny.ai/job/3d-reconstruction-scientist-array-labs-redwood-city-7kgmcgzng4hp'
type: 'job'
last_seen: '2026-09-11'
---

# 3D Reconstruction Scientist at Array Labs

- **Company:** Array Labs
- **Location:** Redwood City, CA
- **Compensation:** $150k–$300k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-12-11
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/arraylabs.io/8c7e960a-1cb8-4ef4-89ac-0320fdad1759

## Job description

Array Labs is building a new way to understand the physical world. Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions. Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters. We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

## 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.

Interview Process We will conduct interviews via Google Meet; 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:

1. find uncommonly good people
2. pay them uncommonly well

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

Why Join Array 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.

## About Array Labs

## Company Overview
- **One-liner**: Array Labs builds and operates swarms of radar satellites to create a real‑time, high‑resolution 3D map of the Earth.
- **Entity Type**: Private (Series A‑II, total funding $56.5 M) [cbinsights.com]
- **Headquarters**: Redwood City, California, USA [linkedin.com]
- **Founded**: 2021 [cbinsights.com]
- **Founders**: Andrew Peterson (CEO) and Jose Isaac Robledo [ycombinator.com]

## Core Business
- **Primary industries**: Defense and Space Manufacturing, Earth Observation, Aerospace [linkedin.com]
- **Target customers**: Government (defence, intelligence, disaster response), commercial (autonomous vehicles, agriculture, insurance, infrastructure) [arraylabs.io]
- **Mission**: “Build advanced radar systems to help humanity understand and respond to changes across the physical world” [arraylabs.io]

## Products & Services
- **Radar Satellite Constellation**: End‑to‑end design, manufacture and operation of a coordinated fleet of small satellites that use distributed radar to produce high‑resolution, real‑time 3D imagery of the Earth. The approach improves image quality by more than 60× over conventional techniques. [ycombinator.com]

## Market Standing
- **Valuation / Market Cap**: Not disclosed.
- **Key Metric**: $56.5 M total funding (includes a $21 M strategic round anchored by Mitsubishi Electric in July 2026) [linkedin.com, cbinsights.com]
- **Notable Investors / Partners**: Mitsubishi Electric, Catapult Ventures, KOMPAS VC, Vest, Y Combinator, Seraphim Space, Great Wave Ventures. Partners include Maxar, Umbra, Raytheon, John Deere. [linkedin.com, prunderground.com]
- **Growth Signals**: 36 employees (monthly headcount growth +10.9 %), 31 active job postings, recent contracts with the U.S. Air Force and U.S. Navy (Office of Naval Research), named a John Deere 2025 Startup Collaborator. [linkedin.com]

## Competitive Advantages
- **Distributed radar swarms** that achieve 60× better image quality than conventional satellites – a significant technical moat. [ycombinator.com]
- **Full vertical integration**: satellites are designed, built, and operated in‑house, allowing rapid iteration and cost control. [arraylabs.io]
- **Strong government & prime‑partner relationships** (Raytheon, Mitsubishi Electric, Maxar), providing credibility and route‑to‑market in defence and intelligence. [linkedin.com]

## Strategic Focus
- **Expand constellation** and deliver real‑time 3D mapping to defence and commercial customers, with a particular focus on the Asia‑Pacific market via the Mitsubishi Electric partnership for airborne moving target indication (AMTI). [linkedin.com]
- **Deepen partnerships** with data distributors (Maxar) and prime contractors (Raytheon) to accelerate product rollout and revenue. [prunderground.com]

## Why Work Here
- **Culture**: “Employee‑centric” environment built on trust, respect, and opportunity; described as collaborative, curious, and pushing boundaries. [arraylabs.io]
- **Work Model**: Offices in Redwood City (HQ), Palo Alto, and San Francisco; likely in‑office / hybrid given the hardware‑focused roles. [linkedin.com]
- **Engineering Culture**: Hands‑on roles across RF, antenna, embedded software, radar algorithms, and satellite design. Small team (~36) offers outsized impact in a high‑growth, well‑funded startup. [jobs.lever.co]
- **Notable Perks**: Not explicitly listed, but competitive compensation, equity, and the chance to work on cutting‑edge space technology with government and industry leaders.

## Sources
1. [arraylabs.io/about](https://www.arraylabs.io/about)
2. [jobs.lever.co/arraylabs.io](https://jobs.lever.co/arraylabs.io)
3. [linkedin.com/company/array-labs](https://linkedin.com/company/array-labs)
4. [cbinsights.com/company/array-labs](https://www.cbinsights.com/company/array-labs)
5. [ycombinator.com/companies/array-labs](https://www.ycombinator.com/companies/array-labs)

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