Lead Software Engineer (3D Computer Vision)

TL;DR

Lead Software Engineer (3D Computer Vision): Leading the execution of a production photogrammetry pipeline for a large-scale 3D reconstruction stack with an accent on scalability, accuracy, and agentic development. Focus on optimizing 3D systems, integrating foundation models, and transitioning into people leadership.

Location: Must be based in the USA, with a strong preference for candidates who can overlap substantially with Pacific Time (PST).

Company

hirify.global is a remote-first company providing an industry-leading photogrammetry platform for large-scale 3D reconstruction and mapping across various industries.

What you will do

• Lead the design and deployment of the production photogrammetry pipeline, including feature detection, SfM, MVS, and mesh reconstruction.
• Integrate and evaluate newer 3D reconstruction approaches such as gaussian splats and foundation 3D models.
• Optimize 3D systems for speed, accuracy, and robustness at production scale.
• Set the technical bar and establish production observability standards, including KPIs, metrics, and alerting.
• Mentor engineers and grow into a people leadership role, taking on direct reports.
• Drive the adoption of AI-first development workflows and agentic coding tools to scale team productivity.

Requirements

• 7+ years of professional experience in 3D Computer Vision or 3D Machine Learning.
• Deep experience building and operating production photogrammetry or 3D reconstruction systems at scale.
• Expertise in at least three of: feature detection/matching, SfM, MVS, monocular depth estimation, mesh reconstruction, mesh texturing, or SLAM.
• Proven track record with agentic development (use of AI coding agents) is a mandatory requirement.
• Must be based in the USA with the ability to overlap with PST standups.
• Experience setting technical direction and a clear interest in moving into people leadership.

Nice to have

• Experience with gaussian splatting or foundation 3D reconstruction (MASt3R, DUSt3R).
• Proficiency in C++ for performance-critical paths.
• Fluency in PyTorch, TensorFlow, and modern ML training stacks.
• Experience with cloud processing (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Experience with geospatial systems or aerial imagery pipelines.

Culture & Benefits

• Remote-first culture with flexible work arrangements and schedule flexibility.
• Comprehensive healthcare coverage and paid family leave.
• Flexible PTO policy based on trust and autonomy.
• Career growth opportunities and specialized Drone Certification.
• Collaborative environment that values creativity and innovation.