Wherobots

Staff Geospatial Database Software Engineer

San Francisco, California, United States

$200,000 – $250,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Robotics & AutomationIndustries

Requirements

The ideal candidate should have 5+ years of hands-on experience implementing scalable, distributed spatial query algorithms and applications. Proficiency in Java and/or Scala is required, along with a strong technical background and a proven track record of building high-quality, maintainable, and observable software. A solid understanding of distributed systems, query engines, DSLs, data structures, and algorithms is essential. Strong communication and collaboration abilities are necessary, especially in a hybrid or distributed team environment. Experience with open-source projects such as Apache Spark, Apache Iceberg, Apache Hadoop, Apache Hive, DeltaLake, or Trino is highly valued. Hands-on experience programming in Python and familiarity with large-scale geospatial data processing is a plus.

Responsibilities

The Staff Geospatial Database Software Engineer will design and implement scalable and efficient query capabilities at the core of our geospatial cloud database. They will implement new vector and raster functions and algorithms to extend Wherobots' capabilities over geospatial datasets. Collaboration with cross-functional teams to define requirements, identify technical solutions, and deliver high-quality software is expected. The engineer will also make open-source contributions to Apache Sedona, Apache Spark, and other open-source software packages as necessary, while staying up-to-date with industry trends and advancements in geospatial and database technologies to contribute to the technical direction of SedonaDB.

Skills

Java
Scala
Spatial Query Algorithms
Distributed Systems
Query Engines
DLS
Data Structures
Algorithms
Vector Data
Raster Data

Wherobots

Geospatial data processing and analytics platform

About Wherobots

Wherobots offers a spatial intelligence cloud platform that helps clients manage and process geospatial data efficiently. Their product utilizes Apache Sedona, an open-source framework, to perform large-scale spatial data operations on cluster computing systems like Apache Spark. What sets Wherobots apart is its unified interface for all spatial data needs, allowing for seamless operations and real-time data engineering. The company's goal is to simplify the handling of spatial datasets from ingestion to delivery through a subscription model.

Key Metrics

Phoenix, ArizonaHeadquarters
2022Year Founded
$26.3MTotal Funding
SERIES_ACompany Stage
Data & Analytics, AI & Machine LearningIndustries
11-50Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off
Hybrid Work Options

Risks

Emerging startups like Descartes Labs increase competition in geospatial analytics.
Over-reliance on AWS could impact operations during service disruptions.
Data privacy regulations may affect geospatial data processing capabilities.

Differentiation

Wherobots leverages Apache Sedona for large-scale spatial data operations.
The platform offers seamless integration with major spatial analytics tools.
Wherobots provides a single pane of glass for all spatial data needs.

Upsides

Rising demand for real-time geospatial analytics boosts Wherobots' market potential.
Integration of AI with geospatial data opens new opportunities for urban planning.
5G technology enhances geospatial data platforms with faster data transmission.

Land your dream remote job 3x faster with AI