3D Reconstruction Scientist

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 Skills & 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 Compensation & Benefits Our hiring and compensation strategy is simple: We offer competitive salaries and meaningful equity. We want everyone here to have real ownership in what we're building. Full-time employees also enjoy a comprehensive benefits package including the following:  Health & Wellness Medical, dental, and vision insurance (including a fully employer-paid medical plan) Paid parental leave (12 weeks / 6 weeks) Time Off 19 paid vacation days, 10 sick days, 11 company holidays Financial 401(k) with employer match (100% match up to 3%, 50% match up to 5%) Commuter expenses (parking & transit) Perks & Lifestyle Daily lunch stipend; Audible subscription; Claude Pro access; relocation support Hybrid work options & flexibility We reserve the right to modify base pay and other compensation components. More details about our benefits are available to candidates during the hiring process.   Interview Process We will conduct interviews via Google Meet, with the potential for an onsite visit to our office in Redwood City, CA. The typical interview process takes around 3 to 5 weeks.   Why Join Array At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries. Join industry-leading experts to build the future of radar and deliver unprecedented insights into the physical world.   Our Values: Build What Matters: Create technology that serves customers and advances humanity Innovate Together: Stay curious, collaborate openly, push boundaries as one team Employee Centric: Put our people first with a culture of trust, respect, and opportunity   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 without regard to gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, or any other legally protected status. If you require a reasonable accommodation during the application or interview process, please let us know.