Staff Software Engineer

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

Staff Plus 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

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Where they hire

State eligibility is not yet verified.

About this role

Staff Software Engineer New York City, New York, United States Podium Automation is reimagining industrial control panel manufacturing through software-enabled design and automated fabrication. We're building technology to create a new industrial supply chain - reducing lead times for critical electrical equipment from months to days. Backed by top-tier investors including a16z's American Dynamism fund, SV Angel, and Banter Capital, we're growing rapidly and looking for exceptional people to help us scale. We are seeking a Staff Software Engineer who is excited to invent new technology in the built world. You will own and lead our component intelligence platform - the backbone of data that makes instant, accurate panel design possible. The Problem You'll Solve Industrial control panels are built from hundreds of components: contactors, terminal blocks, PLCs, switches, and more. Each component has rich, structured data - terminal semantics, electrical ratings, spatial information, certifications - that our design software depends on to generate accurate, manufacturable panels. Very little of this data is accessible in machine-readable form. It is buried in complex, inconsistent sources like PDFs, user manuals, datasheets, STEP files, and diagrams. Structuring this data manually does not scale. Your job is to solve this problem at the root. You will design and build systems that extract, validate, and serve trustworthy information from these challenging data sources. What You'll Do - Platform Ownership: Own the technical roadmap and expansion of our proprietary data model for industrial devices. - Extraction Pipeline Design: Architect and build extraction pipelines that pull structured

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