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Software Engineer, Models

Meter Feeder - San Francisco | Hybrid | Remote

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Hybrid From the posting source checked Jun 20, 2026
In-office days
2 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Models San Francisco | Hybrid | Remote WHY THIS ROLE EXISTS Network engineers carry the most valuable signal in the world in their heads, and it disappears the moment they close a ticket. Your job is to build the system that captures that signal so that our models can learn to think like network engineers. If you get this right, Meter can manage thousands of customers' networks autonomously, without adding a single engineer. THE PROBLEM YOU'RE WALKING INTO LLMs are good at code because of their access to Git. Commit messages explain why a change was made, PR threads capture expert disagreement, issue trackers record dead ends and eventual fixes. Models trained on that corpus of data don't just pattern-match, they've seen millions of examples of human reasoning through problems. Network engineering has none of this. When a network engineer looks at a set of device stats and figures out it's upstream packet loss - not a hardware failure, not a misconfiguration, specifically upstream packet loss - that reasoning lives in their head. Never in a place a model can learn from. You will build the Git and Github for network engineering. A structured, queryable record of what the network looked like, what the expert notice, and why they made the call they made. WHAT YOU WILL SHIP First 30 days Sit with our network engineers and watch how they work. Don't touch code yet. Understand what a great diagnostic reasoning record actually looks like and what data

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