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Salary
$150k – $300k per year
Location
In office (Redwood City)
Seniority
Staff · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 8, 2026.

Overview
Company
Impact
Profile match
Array Labs creates powerful, modular, and flexible radar systems designed for mass production — delivering greater capability and performance at a fraction of the cost of traditional approaches.

Join our rapidly growing engineering team as a Staff Software Engineer for data infrastructure. In this role, you will design and implement systems that process, analyze, and serve data from our satellite constellation. You will work closely with frontend engineers, scientists, satellite systems engineers, and the product team. Your responsibilities will include designing scalable distributed systems, optimizing database schemas, maintaining high-performance APIs, and implementing monitoring and operational systems. You should have at least 6 years of backend software engineering experience, a deep understanding of distributed systems, and proficiency in backend languages and cloud platforms. Familiarity with geospatial concepts and experience building geospatial databases is a plus.

Missions

  • Design and implement scalable distributed systems for processing and analyzing massive datasets from satellite constellations.
  • Develop and optimize database schemas and storage solutions for managing petabyte-scale 3D geospatial data.
  • Lead the design and implementation of mechanisms for handling data ingestion, processing, and delivery pipelines.

Profil recherché

- Experience with high-performance computing and optimization of large-scale data processing pipelines

- 6+ years of backend software engineering experience, including 4+ years building distributed systems and scalable APIs

- Deep understanding of distributed systems and cloud-native development practices

- Strong proficiency in backend languages (e.g., Python, C++, Java), experience with cloud platforms (AWS, GCP, Azure, Terraform) and containerization technologies (e.g. Docker, Kubernetes)

- Excellent communicator, with the ability to make high-quality technical decisions in a startup environment

- Familiarity with geospatial concepts, remote sensing, 3D data, and/or digital signal processing techniques (e.g. SAR and optical satellite imagery, geospatial databases, LiDAR point clouds)

- Experience building geospatial databases, mapping technologies, and/or 3D visualizations, including relevant front-end techniques

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