1,229,538open jobs
69,967companies
213,807added this week
Browse all
Salary
$185k – $200k per year
Location
In office (San Francisco)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Oct 1, 2026.

Overview
Company
Impact
Profile match
AI + Robotics Built for Recycling. At Glacier, we build next-generation robots that make recycling efficient, profitable, and circular. Our systems combine AI vision with robotics to recover more materials at lower cost.

This role is in-office in San Francisco Dogpatch neighborhood.

About Glacier

Hey, we're Glacier! Series A startup based in San Francisco tackling one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're working to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources.

Glacier builds custom sorting robots designed to sort apart recyclables as well as AI-powered business analytics that enable recyclers to superpower their plants and improve our society's circularity.From major CPG companies like Colgate and Amazon to municipal recycling facilities, our clients trust us to turn recycling data into actionable insights. Our technology has been recognized as one ofTIME's Best Inventions andfeatured in a TIME documentary, TechCrunch, Fortune, and CBS.

The Role

We're looking for an experienced Hardware Engineering Manager to lead Glacier's hardware and robotics development. You'll own the hardware roadmap and execution, lead our mechanical and electrical engineering teams, and ensure our systems are reliable, scalable, manufacturable, and cost-effective.

This role reports directly to our Co-Founder and CTO and will play a key role in shaping both our hardware architecture and how the team operates as we scale.

What you'll do

  • Own the strategy and execution of Glacier's hardware and robotics roadmap in close partnership with Product Management

  • Lead, mentor, and develop our 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 IC when needed to unblock critical technical challenges

This is a technical leadership role, not a day-to-day design role. You won't be expected to own CAD or execute routine hardware design work, but you should be comfortable getting deep into technical problems, reviewing designs, and providing architectural guidance.

What we're looking for

  • 5+ years of hardware engineering experience, including 2+ years leading engineering teams

  • Strong technical background in robotics, mechatronics, pneumatics, structural design, and DFM

  • 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

What will make you successful

  • Technical judgment: You can get deep into complex hardware problems while keeping sight of what needs to ship

  • Prioritization: You make clear tradeoffs across effort, risk, cost, lead times, and customer impact

  • Leadership: You set direction, unblock engineers, and hold the team accountable

  • Systems thinking: You understand how hardware decisions affect manufacturing, field service, operations, and software

  • Adaptability: You thrive in an early-stage environment and are willing to jump in when needed

Bonus points

  • Experience at an early-stage startup (<50>

  • Industrial automation, robotics, or heavy machinery experience

  • Hardware deployed across multiple customer sites

  • Edge deployments or on-site hardware troubleshooting experience

Compensation

The total cash compensation range for this role is $185,000 - $200,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. Final compensation will depend on job-related skills and knowledge, experience level, interview performance, and other relevant factors.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,229,538 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Recommended for you based on this role

Leadership
Similar stack
Same company
San Francisco
≈ $155k – $263k per year (Estimated) • Remote (United States) • Full-Time • 11+ years exp • Los Angeles
Python
DevOps
AWS
Platform Engineering
Management
Agile
Apply
$126k – $201k per year • Remote (United States) • 8+ years exp • Bachelor's Degree
Kotlin
Swift
AI/ML
AI Agents
Management
Agile
Apply
≈ $128k – $257k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Chattanooga
Apply
Engineering Manager 12 days ago
≈ $136k – $273k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Newark
Apply
$50k – $300k per year • Remote (United States) • Full-Time • 5+ years exp • Morrisville
DevOps
Azure DevOps
Azure
Management
ServiceNow
SharePoint
Agile
Scrum
Kanban
Apply
$196k – $220k per year • Equity • Hybrid • Full-Time • 2+ years exp • San Francisco
Python
SQL
AI/ML
Computer Vision
Apply
$95k – $110k per year • Equity • Hybrid • Full-Time • San Francisco
Apply
Robotics Technician 2 months ago
$60k – $80k per year • Equity • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • United States
DevOps
Linux
Management
Confluence
Jira
Apply
$24k – $42k per year • Remote (LATAM, PT hours) • Full-Time • 2+ years exp
Python
JavaScript
SQL
Python
FastAPI
Django
AI/ML
DVC
Computer Vision
Label Studio
CVAT
Machine Learning
Frontend
Next.js
React.js
DevOps
Amazon S3
Analytics
ETL/ELT
Apply
Field CTO 11 hours ago
≈ $192k – $333k per year (Estimated) • Remote (United States) • Full-Time • 8+ years exp • San Francisco
AI/ML
AI Agents
GRPO
Post-training
Red Teaming
LLM Evaluation
LLM Guardrails
Apply
≈ $157k – $268k per year (Estimated) • Remote (United States) • Seattle • San Francisco • New York • Mountain View • Salt Lake City
SQL
Databases
TiDB
Apply
≈ $161k – $274k per year (Estimated) • Remote (United States) • 5+ years exp • Bachelor's Degree • Austin • San Francisco • Seattle • New York
AI/ML
Model Context Protocol
AI Agents
RAG
DevOps
GCP
Azure
CI/CD
AWS
Management
Agile
Apply
≈ $161k – $273k per year (Estimated) • Remote (United States) • 5+ years exp • San Francisco
TypeScript
Apply
≈ $159k – $271k per year (Estimated) • Remote (United States) • 9+ years exp • Seattle • San Francisco • Mountain View
Databases
Databricks
Apply
See all jobs
This is one of many
1,229,538 more open roles from verified company boards, updated every day.