About The Position

Calder is building the data infrastructure needed to advance embodied AI and world models. Its platform captures, processes, and delivers high-fidelity human-generated spatial data to train models for manipulation, navigation, and interaction. The Software Engineer will work on Calder’s Task Platform, which connects people worldwide with opportunities to collect and contribute data for Physical AI. The platform maps customer demand and use cases in real time to a globally distributed supply of contributors using heterogeneous sensors and collection methods. The role involves designing and implementing the core crowdsourcing platform and systems, collaborating across product, operations, and AI functions to identify and solve problems, and planning technical roadmaps while contributing to technical strategy.

Requirements

  • Deep experience building critical backend software that supports thousands or more users.
  • Expertise in distributed systems, including data platforms or horizontally scaled databases.
  • Experience architecting and building workflow orchestration systems.
  • Strong analytical skills in a relevant field such as machine learning, mathematics, statistics, or quantitative economics.
  • Proficient programming skills in Python, Node.js, and/or Rust.

Nice To Haves

  • Experience scaling and refactoring production systems for order-of-magnitude growth; experience at hypergrowth startups is a plus.
  • Experience building marketplaces, contributor platforms, or globally deployed products.
  • Experience with IoT architectures or supporting remote sensors or edge-deployed custom hardware.
  • Experience with diverse ETL systems and a strong understanding of related tradeoffs.
  • Keen attention to reliability and consistency.

Responsibilities

  • Drive the design and implementation of the core crowdsourcing platform and systems.
  • Partner with product, operations, and AI functions to identify and solve problems in a high-growth environment.
  • Plan technical roadmaps and contribute to higher-level technical strategy.
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