Job VC
Senior Computer Vision & Photogrammetry Engineer
Technologies
Description
About the Client
Our client is building advanced spatial computing and AI-powered solutions that transform large-scale visual data into accurate, high-quality 3D models. Their platform leverages cutting-edge computer vision, cloud infrastructure, and emerging technologies to solve complex real-world problems across industries.
About the Role
We are looking for a Senior Computer Vision & Photogrammetry Engineer to join the client’s team. This is a senior, high-impact role for someone who can bridge deep algorithmic expertise with scalable, production-grade infrastructure.
You will lead the design and deployment of high-performance 3D reconstruction pipelines, working closely with engineering and infrastructure teams to turn massive datasets into precise spatial outputs.
What You’ll Do
Design and implement photogrammetry pipelines, including Structure from Motion (SfM), Multi-View Stereo (MVS), and bundle adjustment;
Build and optimize high-performance 3D reconstruction workflows for large-scale datasets;
Architect and manage compute infrastructure using Docker and Kubernetes;
Develop data processing pipelines for ingesting, cleaning, and analyzing image and sensor data;
Optimize algorithms for accuracy, performance, and scalability in production environments;
Integrate multi-sensor data (e.g., IMU, GPS, LiDAR) for improved spatial accuracy;
Apply state estimation techniques such as Kalman Filters for sensor fusion;
Explore and integrate emerging approaches like Neural Radiance Fields (NeRF) and Gaussian Splatting;
Optimize cloud-based processing workflows, particularly within AWS environments;
Collaborate with cross-functional teams to productionize research-driven solutions;
Monitor and improve system performance, reliability, and cost efficiency;
Contribute to technical direction and best practices across computer vision and infrastructure.
Core Requirements
7+ years of experience in computer vision, photogrammetry, or spatial data engineering;
Strong programming expertise in Python, including data processing with Pandas;
Deep understanding of 3D geometry, camera models, and coordinate transformations;
Proven experience with Structure from Motion (SfM) and Multi-View Stereo (MVS) pipelines;
Strong experience with Docker and Kubernetes in production environments;
Hands-on experience with large-scale data processing and optimization;
Experience with at least one key 3D/vision library (e.g., Open3D, PCL, or Ceres Solver);
Strong problem-solving skills and ability to work on complex technical systems;
Nice to Have
Experience with SLAM (Simultaneous Localization and Mapping);
Practical experience with NeRF or Gaussian Splatting;
Experience implementing Kalman Filters or similar estimation techniques;
Strong AWS experience (EC2 GPU, S3, Lambda, Batch, SageMaker);
Background in real-time systems or sensor fusion;
Experience with Kotlin.
What We Offer
Competitive market salary;
Fully remote work;
Flexible working hours with overlap requirements;
28 days of paid time off per calendar year;
Opportunity to work on impactful, cutting-edge technology;
Collaboration with a highly professional, international team;
Challenging projects with strong opportunities for growth and learning.
Success Metrics
High-performance, scalable 3D reconstruction pipelines deployed to production;
Measurable improvements in model accuracy and processing efficiency;
Reliable and cost-optimized cloud infrastructure;
Successful integration of advanced techniques into production workflows.
Our client is building advanced spatial computing and AI-powered solutions that transform large-scale visual data into accurate, high-quality 3D models. Their platform leverages cutting-edge computer vision, cloud infrastructure, and emerging technologies to solve complex real-world problems across industries.
About the Role
We are looking for a Senior Computer Vision & Photogrammetry Engineer to join the client’s team. This is a senior, high-impact role for someone who can bridge deep algorithmic expertise with scalable, production-grade infrastructure.
You will lead the design and deployment of high-performance 3D reconstruction pipelines, working closely with engineering and infrastructure teams to turn massive datasets into precise spatial outputs.
What You’ll Do
Design and implement photogrammetry pipelines, including Structure from Motion (SfM), Multi-View Stereo (MVS), and bundle adjustment;
Build and optimize high-performance 3D reconstruction workflows for large-scale datasets;
Architect and manage compute infrastructure using Docker and Kubernetes;
Develop data processing pipelines for ingesting, cleaning, and analyzing image and sensor data;
Optimize algorithms for accuracy, performance, and scalability in production environments;
Integrate multi-sensor data (e.g., IMU, GPS, LiDAR) for improved spatial accuracy;
Apply state estimation techniques such as Kalman Filters for sensor fusion;
Explore and integrate emerging approaches like Neural Radiance Fields (NeRF) and Gaussian Splatting;
Optimize cloud-based processing workflows, particularly within AWS environments;
Collaborate with cross-functional teams to productionize research-driven solutions;
Monitor and improve system performance, reliability, and cost efficiency;
Contribute to technical direction and best practices across computer vision and infrastructure.
Core Requirements
7+ years of experience in computer vision, photogrammetry, or spatial data engineering;
Strong programming expertise in Python, including data processing with Pandas;
Deep understanding of 3D geometry, camera models, and coordinate transformations;
Proven experience with Structure from Motion (SfM) and Multi-View Stereo (MVS) pipelines;
Strong experience with Docker and Kubernetes in production environments;
Hands-on experience with large-scale data processing and optimization;
Experience with at least one key 3D/vision library (e.g., Open3D, PCL, or Ceres Solver);
Strong problem-solving skills and ability to work on complex technical systems;
Nice to Have
Experience with SLAM (Simultaneous Localization and Mapping);
Practical experience with NeRF or Gaussian Splatting;
Experience implementing Kalman Filters or similar estimation techniques;
Strong AWS experience (EC2 GPU, S3, Lambda, Batch, SageMaker);
Background in real-time systems or sensor fusion;
Experience with Kotlin.
What We Offer
Competitive market salary;
Fully remote work;
Flexible working hours with overlap requirements;
28 days of paid time off per calendar year;
Opportunity to work on impactful, cutting-edge technology;
Collaboration with a highly professional, international team;
Challenging projects with strong opportunities for growth and learning.
Success Metrics
High-performance, scalable 3D reconstruction pipelines deployed to production;
Measurable improvements in model accuracy and processing efficiency;
Reliable and cost-optimized cloud infrastructure;
Successful integration of advanced techniques into production workflows.