Array Labs
Array Labs is building a distributed radar imaging constellation to power the first accurate, real-time 3D model of the world. Our formation-flying multistatic radar satellites offer a revolutionary new approach to Earth observation, delivering unique and unparalleled insights of our ever-changing planet.
As a radar algorithms engineer you will develop, deploy, and scale innovative 3D reconstruction algorithms and processing techniques for this unique radar imaging system. In addition to working closely with the rest of the software team, you will be collaborating with the hardware and product teams to rapidly advance image formation techniques from concept to a cloud-based imagery production pipeline.
Responsibilities
Develop synthetic aperture radar algorithms to create high-quality 3D data-products. These can take inspiration from techniques in tomography, interferometry, radargrammetry, as well as computer vision algorithms. Work closely with the rest of the software team to implement and deploy efficient algorithms in our cloud-based image production pipeline Create tools for predicting the performance of 3D reconstruction algorithms based on image collection geometry Collaborate with the product team to understand customer use-cases and translate needs into system-level requirements. Generate test plans and methods to validate product quality and ensure it meets end-user expectations
Basic Qualifications
Bachelor’s degree in electrical engineering, physics, computer science, or related field Experience in SAR digital signal processing and algorithm development Excellent teamwork and communication skills Learn 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 Proficiency in Python, C/C++, or MATLAB
Preferred Skills And Experience
Advanced degree with emphasis in radar image formation Familiarity with SAR image formation algorithms Familiarity with SAR collection modes and motion compensation concepts Experience deploying radar algorithms into production pipelines Familiarity with modern software development practices (version control, code review, continuous integration, etc) Familiarity with SAR collection geometries and implications (crossing node interferometry, multi-baseline interferometry) Familiarity with SAR interferogram processing Familiarity with tomographic aspects of SAR and related concepts such as holographic principles, critical baseline, etc. Familiarity with multi-dimensional inverse SAR and related optimization methods
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 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. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Defense and Space Manufacturing Referrals increase your chances of interviewing at Array Labs by 2x Sign in to set job alerts for “Algorithm Engineer” roles.
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As a radar algorithms engineer you will develop, deploy, and scale innovative 3D reconstruction algorithms and processing techniques for this unique radar imaging system. In addition to working closely with the rest of the software team, you will be collaborating with the hardware and product teams to rapidly advance image formation techniques from concept to a cloud-based imagery production pipeline.
Responsibilities
Develop synthetic aperture radar algorithms to create high-quality 3D data-products. These can take inspiration from techniques in tomography, interferometry, radargrammetry, as well as computer vision algorithms. Work closely with the rest of the software team to implement and deploy efficient algorithms in our cloud-based image production pipeline Create tools for predicting the performance of 3D reconstruction algorithms based on image collection geometry Collaborate with the product team to understand customer use-cases and translate needs into system-level requirements. Generate test plans and methods to validate product quality and ensure it meets end-user expectations
Basic Qualifications
Bachelor’s degree in electrical engineering, physics, computer science, or related field Experience in SAR digital signal processing and algorithm development Excellent teamwork and communication skills Learn 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 Proficiency in Python, C/C++, or MATLAB
Preferred Skills And Experience
Advanced degree with emphasis in radar image formation Familiarity with SAR image formation algorithms Familiarity with SAR collection modes and motion compensation concepts Experience deploying radar algorithms into production pipelines Familiarity with modern software development practices (version control, code review, continuous integration, etc) Familiarity with SAR collection geometries and implications (crossing node interferometry, multi-baseline interferometry) Familiarity with SAR interferogram processing Familiarity with tomographic aspects of SAR and related concepts such as holographic principles, critical baseline, etc. Familiarity with multi-dimensional inverse SAR and related optimization methods
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 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. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Defense and Space Manufacturing Referrals increase your chances of interviewing at Array Labs by 2x Sign in to set job alerts for “Algorithm Engineer” roles.
Palo Alto, CA $150,000.00-$220,000.00 16 hours ago Software Engineer, Machine Learning, YouTube Ads
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San Jose, CA $120,000.00-$165,000.00 7 months ago Mountain View, CA $167,200.00-$250,800.00 2 weeks ago San Jose, CA $119,000.00-$177,000.00 2 days ago San Jose, CA $113,500.00-$250,000.00 5 days ago San Jose, CA $113,500.00-$250,000.00 1 week ago Software Engineer, AI/ML, Google Cloud AI
Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Menlo Park, CA $56.25-$173,000.00 2 weeks ago Mountain View, CA $193,800.00-$203,800.00 1 week ago Sunnyvale, CA $56.25-$173,000.00 2 weeks ago Machine Learning Engineer Graduate (Search E-Commerce - San Jose) - 2025 Start (BS/MS)
San Jose, CA $118,657.00-$177,000.00 17 hours ago Software Engineer, ML Infrastructure, Limited Duration
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San Jose, CA $120,700.00-$228,600.00 1 week ago San Mateo, CA $140,000.00-$210,000.00 9 hours ago San Jose, CA $120,700.00-$228,600.00 1 week ago Perception Machine Learning Algorithm Engineer
San Jose, CA $118,657.00-$177,000.00 1 week ago San Jose, CA $133,900.00-$242,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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