About The Position

We are automating construction end to end to usher in a new era of abundance and beauty in the physical world. The company aims to revolutionize the construction industry by leveraging AI to automate every step of the engineering process, producing end design deliverables for large-scale capital projects like utility-scale power and data centers. This role is crucial for expanding and refining capabilities within their automated design engine product. The team is driven by a mission to build a future of abundance and is composed of individuals who strive for technical excellence and embrace extreme ownership in a fast-paced, high-performance environment.

Requirements

  • Backgrounds in mechanical, electrical, mechatronics, robotics, aerospace, or similar disciplines.
  • Work that has spanned more than one of these disciplines, in industries like automotive, aerospace, or robotics.
  • T-shaped technical excellence: broad understanding across multiple domains and how they interact, implications of trade-offs, etc., while also having deep technical expertise in 1-2 areas.
  • Evidence of strong first principles thinking.
  • Excitement to work in a fast-paced, high-performance environment.
  • Embrace extreme ownership.
  • Ability to prioritize impact by ruthlessly finding the bottlenecks and solving the most important problems.
  • Hands-on builders who can speak to the excruciating minutia and details of their work.
  • Mission alignment and desire to build a future of abundance.

Nice To Haves

  • Experience building your own simulation, calculation, or analysis software tools or other applications.
  • Experience with AI coding agents for building software tools.

Responsibilities

  • Lead engineering development to expand and refine capabilities within our automated design engine product.
  • Leverage AI to automate every step of the engineering process to produce end design deliverables for the construction of large scale capital projects such as utility scale power and data centers.
  • Own end-to-end engineering scope within multidisciplinary products.
  • Apply first principles thinking to challenge conventional wisdom and create step-function improvements.
  • Prioritize impact by ruthlessly finding bottlenecks and solving the most important problems.
  • Execute on detailed engineering tasks rather than managing or organizing others' work.
  • Turn engineering knowledge into scalable software, potentially using AI coding agents.
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