Full-Time

Manufacturing Engineer

Foundational Industries

Foundational Industries

1-10 employees

AI-native automation platform for autonomous factories

No salary listed

San Francisco, CA, USA + 1 more

More locations: United States

In Person

Category
Manufacturing & Process Engineering (1)
Required Skills
Welding
Process Engineering
Assembly

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Requirements
  • At least 5 years of manufacturing or process engineering experience in fabrication, welding, machining, or electromechanical assembly environments.
  • Own process routing and line design, including takt analysis, station balancing, labor and machine time estimation, and floor layout.
  • Have fixture design experience, including locating-scheme design and process repeatability for fabricated or assembled products.
  • Demonstrate hands-on fluency with cutting, forming, welding, finishing, and assembly processes, along with design-for-manufacturing judgment to simplify them.
  • Apply work-instruction, routing, and time-study discipline, including standing up documentation systems where none existed.
  • Have experience deploying or working within manufacturing execution systems, statistical process control, or shop-floor data collection systems.
  • Apply lean manufacturing methods including value-stream mapping, Single-Minute Exchange of Die, and standard work.
  • Stand up a manufacturing engineering function from scratch and run it until it can be handed off to a team.
Responsibilities
  • Own the manufacturing processes that build the company’s products.
  • Define routings, fixtures, work instructions, and line layout from raw material through fabrication, finishing, and assembly at takt.
  • Instrument every manufacturing step with data.
  • Complete process routings for the active product line, defining each operation with machine time, labor time, and station assignment, and validate them against the production-floor layout and takt targets.
  • Specify fixture designs for critical operations with quality and repeatability built into the process.
  • Run the pilot line, qualify fixtures, release work instructions and operator training packages at every station, and build first articles to routing.
  • Conduct time studies, identify bottleneck stations, implement countermeasures, and define in-process inspection points with Quality.
  • Bring the line to rate with stable takt and documented overall equipment effectiveness.
  • Feed process data, including cycle times, yields, and rework, into the manufacturing execution system and traceability platform.
  • Deliver a cost-down pipeline covering setup reduction, fixture consolidation, and automation candidates, with measurable labor-hour reduction per unit against the baseline routing.
Foundational Industries

Foundational Industries

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Foundational Industries builds an AI-native automation platform that runs autonomous factories for industrial manufacturing. Its system designs, operates, and finances facilities powered by AI-enabled robotics, using multi-agent robotic arm coordination and a unified AI-native operating layer to connect design through final product. It differentiates itself by delivering end-to-end, reconfigurable, autonomy-first factories and by partnering with AI-robotics providers to offer procurement solutions that raise automation density and support domestic production. The goal is to make reindustrialization practical and competitive by enabling high-quality, domestically produced goods at scale.

Company Size

1-10

Company Stage

Seed

Total Funding

$25M

Headquarters

Mill Valley, California

Founded

2026

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Simplify Jobs

Simplify's Take

What believers are saying

  • EngRadar showed 18 open roles on August 8, 2026, signaling active buildout.
  • Fortune reported software emulators already model the entire factory, accelerating prototyping.
  • Data-center hardware demand from new AI silicon drives custom racks, cooling, and power products.

What critics are saying

  • No disclosed customer names; Fortune said customers remain unnamed in July 2026.
  • First facility still unbuilt; failure to launch by December 2026 kills credibility.
  • P-1 AI's July 2026 Series A intensifies industrial AI competition for design workflows.

What makes Foundational Industries unique

  • Jonathan Winer's team raised $25 million from BoxGroup and Zigg Ventures in July 2026.
  • Foundational builds AI-native factories from scratch, not retrofitting legacy assembly lines.
  • First focus targets data-center hardware with software coordinating design, robotics, inspection, scheduling.

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Benefits

Company Equity

Company News

Fenwick & West
Aug 3rd, 2026
Fenwick represents Foundational Industries in $25M seed funding.

Fenwick represents Foundational Industries in $25M seed funding. Fenwick represented Foundational Industries, a developer of AI-operated manufacturing plants and modular data center infrastructure, in its $25 million seed funding. The round was led by BoxGroup and Zigg Ventures with participation from Abstract Ventures, Adverb Ventures, Buckley Ventures, and Offline Ventures. Foundational Industries will use the capital to fund core hardware prototyping, scale its software engineering teams, and initiate the construction of its first automated manufacturing facility. More information can be obtained here. The Fenwick transaction team was led by corporate partner Dawn Belt and associate Havyn Quigley.

Noah Business Intelligence
Jul 30th, 2026
Foundational Industries raises $25M to build AI-native US factories for data centre hardware

Foundational Industries has raised $25 million in seed funding to build AI-native manufacturing plants that are fully software-driven from the ground up. The round was led by BoxGroup and Zigg Ventures, with participation from Abstract Ventures, Adverb Ventures, Buckley Ventures and Offline Ventures. The startup's first target is data-centre hardware, focusing on specialised equipment for AI chips requiring different voltage and cooling systems. Customers include data-centre developers, neocloud providers and chipmakers. Founder Jonathan Winer, who previously spent 25 years at Alphabet's Sidewalk Infrastructure Partners deploying over $1 billion in capital, argues China's manufacturing strength stems from advanced automation and deep supply chains rather than cheap labour. He says China has invested more than $1 trillion in advanced manufacturing over the past decade, making direct American imitation unrealistic.

MoneyVests
Jul 30th, 2026
Forget robots on assembly lines. Foundational Industries wants AI to run the entire factory.

Forget robots on assembly lines. Foundational Industries wants AI to run the entire factory. July 30, 2026 His startup, Foundational Industries, just raised a $25 million seed round, Fortune learned exclusively, to build factories where AI runs the whole operation rather than bolting automation onto an old assembly line. The round was led by BoxGroup and Zigg Ventures, with Abstract Ventures, Adverb Ventures, Buckley Ventures, and Offline Ventures participating. Rather than retrofitting a factory with a robot arm here and a vision sensor there, Foundational makes physical products, starting with data-center hardware, using factories designed from scratch to be run by software. Winer, who spent 25 years at Alphabet's Sidewalk Infrastructure Partners deploying over $1 billion in capital, told me the seed money isn't meant to fund a giant factory yet. "What this is allowing us to do is to sort of build a minimum viable product," he said. "We've actually built the entire factory in software already using software emulators." Foundational's first customers are data-center developers, neoclouds, and chipmakers who need custom rack enclosures now that new AI silicon runs at different voltages and cooling requirements. They declined to disclose customer names. But Winer's real argument is about China. The common wisdom in Washington is that China's manufacturing dominance is built on cheap labor and lower-quality copying. Winer says that's outdated. "Many of their factories are some of the most advanced automated factories in the world, and they are increasingly using not just international industrial automation, but also homegrown and home produced solutions," he told me. China has poured over $1 trillion into advanced manufacturing over the past decade, backed by state subsidies and what Winer calls "a really dense industrial ecosystem" that lets new products get designed and launched fast. That density is precisely why he thinks a head-on copy of China's approach won't work. "We just don't have the people or the skill sets to do it," he said. "And even if we did, it's probably not economically competitive to China." So Winer's thesis is to skip that fight entirely and build a different kind of factory. His argument rests on two American advantages: sophisticated AI models and researchers (which is now a shrinking talent gap) and far more AI compute. That combination, he says, lets Foundational's system take a customer's "product intent" and almost instantly generate a bill of materials and manufacturing process (a step that traditionally took months of manual design work). There's also a structural weakness in China's model that Winer is betting against. He argues China's factories, however advanced, are still built around older-style automation that needs constant utilization to justify state subsidies. "They kind of need to feed the beast now," he said. 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