G

Glacier

AI-powered robotic sorting for recycling facilities

Director of Hardware Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of hardware engineering experience, including at least 2 years leading engineering teams.
  • Strong technical background in robotics, mechatronics, pneumatics, structural design, and design for manufacturing.
  • Experience taking hardware from prototype through production, including contract manufacturing and supply chain.
  • Experience building hardware for real-world deployment.
  • Strong project judgment across engineering capacity, customer timelines, cost, risk, and deployment constraints.

Responsibilities

  • Own the strategy and execution of the hardware and robotics roadmap in close partnership with Product Management.
  • Lead, mentor, and develop the hardware engineering team, keeping engineers focused and unblocked.
  • Drive technical decisions and architectural tradeoffs across complex hardware systems.
  • Establish lightweight engineering processes that improve execution, quality, and reliability.
  • Partner with Operations, Manufacturing, Field Service, and Software to resolve cross-functional issues.
  • Ensure machines can be manufactured, deployed, and supported reliably at scale.
  • Balance engineering capacity, customer timelines, deployment requirements, cost, and risk.
  • Step in as an individual contributor when needed to unblock critical technical challenges.
  • Provide deep technical input, review designs, and provide architectural guidance; routine CAD ownership and hardware design execution are not expected.

Desired Qualifications

  • Experience at an early-stage startup with fewer than 50 employees.
  • Experience in industrial automation, robotics, or heavy machinery.
  • Experience deploying hardware across multiple customer sites.
  • Experience with edge deployments or on-site hardware troubleshooting.

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

Recently Posted Jobs

Explore more opportunities at Glacier

See more jobs