Multidisciplinary Engineer - Mid-Level

Requirements

• Inherently multidisciplinary - product companies naturally create this. Engineers have to collaborate tightly across mechanical, electrical, software, systems - so they end up thinking across the full stack whether they intended to or not
• the multidisciplinary can also come from studying one discipline in college and then working across another
• Worked at exceptional product companies - think Tesla, SpaceX, Joby, Anduril, Rivian, Neuralink. These environments force engineers to work across disciplines and think holistically about a product. That's very different from a Bechtel or a construction firm where work is siloed and process-driven
• Worked on real, shippable products - a car, a robot, a rocket, a humanoid, an aircraft. especially first of a kind products. Something hard that gets built, tested, iterated on, and shipped to the world
• Hands-on builder - not a manager, consultant, or someone who just oversaw the work. We want people who actually built the thing
• Strong pedigree is a bonus, not necessary- elite engineering schools (MIT, Stanford, Caltech, CMU), but work experience is more important. i.e. a track record at companies doing genuinely hard things
• Personality: hungry, deep in their craft, still hands-on.
• Not a fit: construction/infrastructure firms (Bechtel, AECOM, etc.), pure project managers, consultants
• We're hiring across the board in terms of experience - even engineers straight out of school. For those straight out of school internships at great companies is a bonus.
• Mid-Level = 3-7 years of relevant work experience.

Benefits

Additional Information

The role : As a Multidisciplinary Engineer, you'll use your deep domain expertise - spanning mechanical, electrical, civil, structural, or systems engineering - alongside AI tools like Claude Code to build the platform that automates engineering design across all construction. You don't need prior software experience; our engineers who've never built a software product are writing code with AI. What matters is that you understand the physics, the constraints, and the trade-offs across multiple engineering disciplines. You'll be hands-on: designing, building, testing, iterating.

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Company Intel

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