Company
Technology
LeadSoftwareEngineer,3DComputerVision
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Software Engineer, 3D Computer Vision. Skills: 3D Computer Vision, Photogrammetry, Machine Learning, System Design. Lead design of 3D photogrammetry pipeline. Lead execution of 3D photogrammetry pipeline”
Industry & Context.
Technical investigations; Debugging frameworks
Pacific Time collaboration
What They're Looking For.
Must Have
7+ years of experience in 3D computer vision, Degree in Computer Science, Proven experience building production-scale photogrammetry systems, Expertise in SfM, Expertise in MVS, Expertise in feature matching, Expertise in monocular depth estimation, Expertise in SLAM, Expertise in mesh reconstruction, Proficiency in C++, Working knowledge of PyTorch, Working knowledge of TensorFlow, Experience running large-scale ML experiments, Experience with containerized infrastructure, Familiarity with CI/CD pipelines, Familiarity with engineering best practices, Experience mentoring engineers
Nice to Have
Gaussian splatting exposure, Foundation 3D models exposure, Experience with geospatial systems, Experience with aerial imagery pipelines, Experience with robotics-enabled perception systems
What You'll Do.
Lead design of 3D photogrammetry pipeline
Lead execution of 3D photogrammetry pipeline
Lead evolution of 3D photogrammetry pipeline
Contribute as technical builder
Contribute as people leader
Own system performance
Lead end-to-end design of photogrammetry pipeline
Lead optimization of photogrammetry pipeline
Drive integration of 3D approaches
Evaluate 3D approaches
Build scalable 3D computer vision systems
Ship scalable 3D computer vision systems
Maintain scalable 3D computer vision systems
Own technical investigations
Ensure system stability
Ensure system performance
Define technical standards
Uphold technical standards
Establish observability frameworks
Establish monitoring frameworks
Expand into people leadership
Partner with leadership
Translate roadmap priorities
Develop reusable engineering frameworks
Develop reusable debugging frameworks
Lead adoption of AI-first workflows
Lead adoption of agent-assisted workflows
Evaluate emerging tools
Evaluate coding agents
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Leadership alignment; Remote-first environments; Pacific Time collaboration
Communication Scope
Explain complex systems
Process & Methodology
Roadmap planning
Full Job Description
## Accountabilities This role is responsible for leading the design, execution, and evolution of a production-grade 3D photogrammetry and computer vision pipeline, while also contributing as a hands-on technical builder and emerging people leader. It requires ownership of both system performance and team growth in a high-scale, AI-enabled engineering environment. Lead the end-to-end design and optimization of the photogrammetry and 3D reconstruction pipeline, including SfM, MVS, feature matching, depth estimation, and mesh reconstruction systems. Drive integration of modern 3D approaches such as Gaussian splatting and foundation 3D models, evaluating when and how they enhance production performance. Build, ship, and maintain scalable 3D computer vision systems optimized for speed, accuracy, and robustness in production environments. Own technical investigations from diagnosis through production rollout, ensuring long-term system stability and performance. Define and uphold technical standards for 3D vision work, including experiment rigor, system design quality, and production readiness. Establish observability and monitoring frameworks for photogrammetry systems, including KPIs, dashboards, and data quality tracking. Mentor engineers and gradually expand into formal people leadership, starting with 1–2 direct reports and scaling over time. Partner closely with leadership to translate roadmap priorities into executed, well-sequenced technical delivery. Develop reusable engineering and debugging frameworks, including tooling, workflows, and AI-enabled development practices. Lead adoption of AI-first and agent-assisted development workflows, including evaluation of emerging tools and coding agents. Requirements The ideal candidate brings deep expertise in 3D computer vision systems at production scale, combined with strong engineering leadership potential and hands-on technical depth across modern ML and vision toolkits. 7+ years of experience in 3D computer vision, m
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