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Full-Time

Sr/Staff 3D Reconstruction Scientist

Confirmed live in the last 24 hours

Array Labs

Array Labs

11-50 employees

Provides high-resolution 3D geospatial imagery

Hardware

Mid, Senior

Palo Alto, CA, USA

US Citizenship Required

Category
Computer Vision
AI & Machine Learning
Required Skills
Python
Data Structures & Algorithms
MATLAB
Computer Vision
Requirements
  • 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 MATLAB, C/C++, and/or Python
  • 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.
Responsibilities
  • Research, design, and implement tomographic algorithms for 3D image reconstruction utilizing complex phase-history data from radar 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

Array Labs specializes in creating high-quality 3D imagery using a network of small satellites called radar cubesats. These satellites work together to capture images of the same area from different angles, resulting in 3D images that are significantly more detailed than those produced by other methods. The company serves various clients, including government agencies and urban planners, who need accurate imagery for tasks like mapping and disaster response. Array Labs operates on a subscription model, allowing clients to access its continuously updated imagery data. Additionally, it offers a pilot program for customers to help refine the product based on their feedback. This approach enables Array Labs to provide timely and precise data, setting it apart from competitors in the geospatial imaging market. The goal of Array Labs is to deliver cost-effective, high-resolution imagery that meets the diverse needs of its users.

Company Stage

Seed

Total Funding

$6.1M

Headquarters

Thousand Oaks, California

Founded

2019

Growth & Insights
Headcount

6 month growth

0%

1 year growth

77%

2 year growth

700%
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Simplify's Take

What believers are saying

  • The recent $5 million pre-seed funding round provides financial stability and resources for further technological advancements.
  • Array Labs' high-resolution 3D imagery has diverse applications, from urban planning to disaster response, making it a versatile and valuable tool.
  • The subscription-based model ensures a steady revenue stream, allowing for continuous product improvement and customer support.

What critics are saying

  • The geospatial imaging market is highly competitive, requiring constant innovation to stay ahead.
  • Reliance on radar cubesats means any technical failure could disrupt service and damage the company's reputation.

What makes Array Labs unique

  • Array Labs leverages a unique cluster of radar cubesats to produce 3D imagery that is 10 times more detailed than competitors, at a fraction of the cost.
  • Their distributed architecture allows for rapid imaging of any location on Earth within hours, providing timely and accurate data.
  • The early access pilot program enables customer collaboration to fine-tune the product, ensuring it meets specific user needs.