Senior Process Engineer, 3D Reconstruction
Hover · San Francisco, CA · 2 wk ago
HybridManagement$147k–$182k/yrFull-time
Why Hover wants you
At Hover, we're transforming everyday photos and videos into accurate 3D property data that powers the future of home improvement, construction, and insurance. By combining cutting-edge AI with expert human insight, we're building the world's most advanced platform for creating digital twins of real-world spaces.
You'll play a critical role in scaling and evolving the systems behind that platform. You'll partner closely with teams across Computer Vision, Product, Engineering, Operations, and R&D to improve how we build, validate, and deliver 3D models at scale.
Responsibilities
- Analyze and optimize end-to-end 3D reconstruction and modeling workflows to improve efficiency, scalability, and quality
- Identify opportunities to automate manual processes and accelerate production turnaround times
- Design, s, and iterate on workflows that combine AI-driven systems with targeted human expertise
- Define and monitor operational metrics to measure quality, speed, automation performance, and business impact
- Run experiments, pilot programs, and process improvement initiatives to evaluate new approaches and technologies
- Partner closely with Product, Engineering, Computer Vision, Operations, and R&D teams to bring improvements into production
- Develop documentation, training materials, and operational best practices to support successful adoption of new processes and tools
- Serve as a subject matter expert on critical production workflows and help guide future automation strategy
Requirements
- 4+ years of experience working with 3D modeling workflows in architecture, interior design, mechanical engineering, civil engineering, construction technology, or related industries
- Proficiency with SketchUp, AutoCAD, Revit, or similar 3D modeling tools (SketchUp strongly preferred)
- Strong understanding of production workflows, process optimization, or operational systems
- Experience using data to identify bottlenecks, measure impact, and drive decision making
- Proven ability to collaborate effectively across technical and non-technical teams
- Strong analytical, problem-solving, and systems-thinking skills
- Experience sing, implementing, or supporting process improvements in complex operational environments
Bonus Points
- Experience using AI-assisted development tools, automation tools, or lightweight scripting to prototype and evaluate ideas
- Familiarity with photogrammetry, reality capture, 3D reconstruction, mapping systems, or digital twin technologies
- Exposure to Python, SQL, Tableau, or other data and automation tools
- Experience working in human-in-the-loop systems or AI-enabled production environments