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Software Engineer, Scaling

Build AI

Company websitebuild.ai (Build AI, opens in new tab)

Base salary $180K  to $300K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

About Build AI

Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.

Job Summary

We’re hiring a software engineer to build the products the on-the-ground scaling teams live in. Your users are the people standing up collection in factories and job sites. If a site cannot collect more tomorrow because the software is in the way — tasking, device health, local tooling, site standup — that is on you.

Key Responsibilities

  • Build internal products for collection ops: tasking, site standup, device inventory, shift tracking, and local tooling that works with bad connectivity

  • Sit with ops and watch where they lose hours; ship software that removes it, then measure hours of useful collection per person

  • Make standing up a new site or country a repeatable product, not a custom process each time

  • Produce site-health views: what’s recording, what’s failing, what’s stuck in upload — so field leads and SF engineering share one picture

  • Work with data infrastructure and marketplace incentives so field tools connect to ingest and pay

  • Travel or embed with field teams when that is what it takes to get the product right

You may be a good fit if you have (Must-have qualifications)

  • Strong generalist software engineer who likes shipping product for operators, not only backend services

  • Comfortable with messy real-world ops and 0→1 tools

  • Fine traveling or working closely with field teams

  • You measure success in whether scaling teams scale harder, not in polished abstractions

Strong candidates may also have experience with (Nice-to-have qualifications)

  • Time spent embedded with field, ops, logistics, or deployment teams

  • Experience standing up tools in new sites or countries

  • Marketplace, incentive, or ops-product background

  • Linux/Python and comfort debugging hardware-adjacent field issues

Benefits

  • Competitive pay

  • Medical, dental, and vision packages with generous premium coverage

  • $500 per month credit for waiving medical benefits

  • Housing subsidy of $2k per month for those living within walking distance of the office

  • Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)

  • Various wellness benefits covering fitness, mental health, and more

  • Daily lunch and dinner in our office

  • Unlimited compute budget subject to ROI justification

  • Unlimited Codex and Claude credits

  • Travel

How we're different

Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.

We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: [email protected]

Source: Build AI on Ashby · View original posting (opens in new tab)

This range next to 6 other live Build AI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Build AI roles with the nearest advertised base floor
RolePublished base
Software Engineer, Scaling (this listing)$180K - $300K
Software Engineer, Generalist$180K - $300K
Data Scientist, Marketplace Incentives$180K - $280K
Software Engineer, Data Visualization$180K - $300K
Head of Data Compliance$160K - $250K
ML Engineer, Inference Optimization$200K - $320K
Product Lead$200K - $300K

Same $100K to $400K scale as every card. All Build AI roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-30
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 180,000 – 300,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.