Future Engineering Opportunities
WFA Digital Insight
Twindo’s invitation for "Future Engineering Opportunities" reads less like a conventional vacancy and more like a call to co‑create the next phase of AI‑powered home modeling. The company’s core product—LiDAR‑based scans captured on iPhone or iPad and converted into editable as‑built files—places engineers at the intersection of computer vision, cloud processing, and real‑world construction data. Candidates will join a virtual‑first team that spans the US and Europe, collaborating across time zones to tighten the feedback loop between sensor input and the final 3‑D model. Because the technology was highlighted at an Apple keynote, engineers can expect exposure to cutting‑edge hardware integrations while shaping a workflow that already processes millions of square feet each month. Applicants should be comfortable navigating ambiguous product roadmaps and ready to push both algorithms and infrastructure forward in a fully remote environment.
Job Description
Twindo is at the forefront of revolutionizing the remodeling, architecture, and interior design industry through cutting-edge AI and computer vision technology. With our LiDAR-enabled iPhone or iPad scans, we capture precise 3D representations of homes in minutes, providing interactive models with accurate-to-the-inch measurements. Our proprietary process then turns these scans into highly detailed, editable, as-built files in industry-standard formats. Our technology was featured at Apple's keynote when the iPhone's LiDAR sensor was introduced, and we now model millions of square feet each month.
As a global virtual-first company, our team members are distributed worldwide, with a concentration in the US and Europe.
Don't see a role that fits you, but are interested in discussing future opportunities? We'd love to hear from you. Please feel free to send your resume and a brief overview of yourself and your career interests. If we see a path for our stars to align, we'll reach out for a general conversation to connect further. Thank you for your interest!
How to Stand Out
- Highlight any projects where you processed LiDAR or depth data; include brief metrics of accuracy or speed improvements.
- Showcase open‑source contributions or personal repositories that demonstrate your computer‑vision pipeline skills.
- Prepare to discuss how you balance model experimentation with production reliability during interviews.
- Emphasize remote‑work discipline: describe your setup, communication tools, and how you stay aligned across time zones.
- When asked about architecture decisions, reference specific trade‑offs you made between on‑device processing and cloud inference.
- Ask about the company’s approach to continuous learning; showing curiosity signals cultural fit.
- Review Twindo’s public demos or keynote footage to reference real‑world use cases in your application.
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