Lead Software Engineer, 3D Computer Vision (USA)

About Nimbus Data Systems Nimbus Data Systems powers field teams with robotics and AI. As the only reality capture platform that combines robotic automation, AI agents, and a truly unified system, Nimbus Data Systems allows critical industries to operate with speed and confidence. From construction and energy to agriculture, the world’s largest companies use Nimbus Data Systems to simplify field operations, improve safety, and make smarter decisions, faster. By combining aerial drones, 360 and fixed cameras, ground robots and proprietary AI, we’re bringing the power of automation and visual intelligence to all stakeholders, from the field to the boardroom. At Nimbus Data Systems , we thrive in a mostly remote-first culture rooted in innovation and impact. We’ve been recognized as a Best Place to Work in the SF Bay Area and named one of America’s Great Places to Work—but what truly sets us apart is the experience you gain: solving real-world challenges with cutting-edge technology, surrounded by teammates who are as passionate as they are supportive. Our team is bold, mission-driven, and building something that matters. We foster a culture where a variety of perspectives drive smart decisions, and where growth—both personal and professional—is part of the journey. Whether it’s flexible schedules, family-friendly benefits, or our strong track record of internal promotions, we invest in people as much as we do in product. If you’re looking to be part of something ambitious, authentic, and transformative, you’ll find your place at Nimbus Data Systems . 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. We're a small, high-leverage team behind an industry-leading photogrammetry platform. Our customers have mapped over 150M acres across more than 180 countries, relying on us for speed, quality, and accuracy in industries as diverse as construction, agriculture, mining, conservation, forestry, and infrastructure inspection. What matters most is experience with production photogrammetry at scale — you've shipped and operated 3D reconstruction systems, you know what breaks under load, and you understand the gap between a research result and something that holds up across thousands of maps. You'll also help reshape how our team builds. We've been investing heavily in agentic development — codifying expertise into reusable skills, pushing AI-first workflows, evaluating new tools as they ship. We want someone who's been doing the same thing on their current team and is ready to do more of it here. 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. You will be responsible for defining and refining how these tools are used on the team—authoring reusable skills and workflows, evaluating new tools against real problems, and holding agent-generated code to the same standard as human-written code. 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 that makes them work at scale. Drive integration and evaluation of newer 3D reconstruction approaches — gaussian splats, foundation 3D models (MASt3R / DUSt3R-class and successors), and what comes next — where they earn their place in the pipeline. Optimize 3D systems for speed, accuracy, and robustness at production scale. Use the right tool for the problem — classical 3D computer vision when it wins, learned approaches when they win. Own the hardest technical investigations end-to-end — initial triage through production rollout and long-tail support. 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 (metrics, logs, dashboards, alerts), and the processes that catch data-quality issues early and sustain performance at scale. Mentor engineers on the team, then take on