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Glacier

AI-powered robotic sorting for recycling facilities

System Engineer - Fleet Support

Site Reliability EngineeringConfirmed live in the last 24 hours
ContractBuenos Aires, Argentina$3k - $4.5k /mo

About the Job

Requirements

  • At least 3 years of work experience on hardware or robotics projects or products.
  • At least 3 years of work experience with Python, Ubuntu/Linux, and Git.
  • At least 2 years of experience working through the command line for both local and remote systems.
  • English fluency at B2 level or higher is required for working with the US-based team.

Responsibilities

  • Respond to system-generated alerts and customer-raised issues as the primary software responder, and recommend solutions to the field service team.
  • Monitor and tune the performance of deployed devices to maximize the robots' impact.
  • Support deployment of new devices to the fleet.
  • Build tooling that enables the field service team to handle more issues and respond more quickly to problems.

Desired Qualifications

  • Networking debugging experience.
  • Embedded programming experience.
  • ElasticSearch experience.
  • React experience.
  • Django experience.
  • Structured Text experience.
  • Experience working with US companies or clients.

About the Company

Glacier

AI-powered robotic sorting for recycling facilities

Glacier builds AI-powered robotic sorters and data analytics for recycling facilities. Its AI-driven robots use computer vision to identify and sort more than 30 material types on conveyor belts, at about 45 items per minute, and are designed to be compact and quick to install so they cause minimal downtime. The company differentiates itself by pairing space-efficient, affordable robotics with an analytics platform, enabling easier retrofits and faster deployment than larger, more disruptive systems. Its goal is to improve recycling efficiency and material recovery by providing data-driven insights to facilities and brand partners.

Company size
51-200
Company stage
Series A
Total funding
$28.2M
Headquarters
San Francisco, CA
Founded
2019

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