Overview
We're hiring a player-coach to lead execution on our core photogrammetry pipeline — the 3D reconstruction stack at the heart of our platform. You'll partner with CV leadership on technical direction, then make it happen — driving execution, setting the technical bar, growing a team, and shipping the work that moves the product.
You'll spend most of your time hands-on — building, training, and shipping 3D systems — while also growing into a leadership role. You'll start with 1–2 direct reports in your first year and grow your scope over time. This is not a pure IC role: candidates who are not interested in growing into people leadership won't be a fit.
Work Environment
- Work Model: Remote (work from home), with a strong preference for candidates who live in or can overlap substantially with Pacific Time.
- Travel: Occasional travel (approximately 2–3 times per year) for team and company offsites, technical planning sessions, and in-person collaboration.
- AI tooling: Daily use of advanced AI coding agents (e.g., Cursor, Claude Code, or comparable tools) is an expected part of this role.
Responsibilities
- Lead the design, evaluation, and deployment of our production photogrammetry pipeline — feature detection and matching, structure from motion, multi-view stereo, monocular depth estimation, mesh reconstruction, and the supporting infrastructure.
- Drive integration and evaluation of newer 3D reconstruction approaches — gaussian splats, foundation 3D models (MASt3R / DUSt3R-class and successors).
- Optimize 3D systems for speed, accuracy, and robustness at production scale.
- Set the technical bar for photogrammetry on the team — review designs, raise the quality of experiments, codify what "great" looks like.
- Own the production observability standard for photogrammetry — KPIs, instrumentation, and processes that catch data-quality issues.
- Mentor engineers and manage 1–2 direct reports.
- Reshape how the team uses AI across the SDLC — driving adoption of AI-first and prototype-first workflows.
Requirements
- Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field, with 7+ years of professional experience in 3D Computer Vision or 3D Machine Learning.
- Deep experience with production photogrammetry or 3D reconstruction systems at scale.
- Deep experience across the broader 3D perception toolkit — at least three of: feature detection and matching, SfM, MVS, monocular depth estimation, mesh reconstruction, mesh texturing, SLAM.
- Proven track record with agentic development and AI-first workflows.
- Experience setting technical direction for a team and growing engineers.
- Strong ability to timebox experiments, iterate effectively, and triage routes to success.
- Experience with CI/CD tools (e.g., Jenkins, GitHub Actions).