Software Engineer, Scaling
AI Summary
Software Engineer building internal products for field collection ops, including tasking, site standup, device inventory, and shift tracking tools used by on-the-ground scaling teams in factories and job sites.
About this role
About Build AI
Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the in-the-wild physical labor dataset by orders of magnitude. We learn from humans doing the real job, in real environments. Inflecting revenue, backed by top-tier investors and staffed by leading engineers, Build is becoming the bottleneck to solving physical labor.
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
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
Travel
How we're different
Build believes in the Bitter Lesson (http://www.incompleteideas.net/IncIdeas/BitterLesson.html). We are betting early on learning from real human work at massive scale, and that the economies of scale of collection beat extra sensors and extra fidelity. Our addressable market is all physical labor, unlike many of our competitors.
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: research@build.ai
Skills
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