Senior Computer Vision Engineer (Reconstruction)

Niantic, Inc.
Sunnyvale, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 255K

Job location

Sunnyvale, United States of America

Tech stack

Geographic Information Systems
Artificial Intelligence
Computer Vision
C++
Nvidia CUDA
Computer Programming
Python
OpenCV
Open Source Technology
Performance Tuning
Systems Architecture
Gaussian
Information Technology
Low Latency
Production Code
3d Mapping

Job description

As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Reconstruction technology. As a member of this team, you will be responsible for building a high-fidelity 3D representation of the living geospatial world model via Gaussian Splatting and Meshing. Part of the role you will be bridging the gap between R&D and production, turning complex geospatial data into a persistent sense of space and enabling the next generation of spatial AI., * System Architecture: Design, develop, and maintain production-grade Computer Vision systems that power Niantic Spatial's 3D Gaussian Splatting, Meshing and 3D mapping pipelines.

  • Algorithmic Innovation: Refine and scale algorithms for our Reconstruction service including, SfM (Structure from Motion), Depth Estimation, 3D Gaussian Splatting and Meshing. Moving algorithms from research concepts to hardened production code that can scale for our map of the world.
  • Performance Engineering: Optimize complex Computer Vision code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU.
  • Benchmarking & Evaluation: Create and own the tools and frameworks used to evaluate the quality of our 3D Reconstructions against ground-truth data.
  • Technical Leadership: Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack.
  • Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences., If required by law, by submitting my job application I consent to the processing of my information as described in that Notice, including processing information I voluntarily disclose to Niantic Spatial, such as health or medical information, race or ethnicity data, and sexual orientation data and, in limited circumstances sharing information with third parties such as references and other third parties that assist in the hiring process.

Requirements

Do you have experience in Tooling?, Do you have a Bachelor's degree?, * Education: BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or a related technical field (or equivalent professional experience).

  • Years of Experience: 5+ years of experience developing and shipping algorithms for image processing, Computer Vision, or 3D Reconstruction.
  • Coding Proficiency: Expert-level proficiency in Python and/or C++.
  • Domain Expertise: Proven track record in designing solutions for Computer Vision or 3D Reconstruction.
  • Required in-office days: 3 days per week, * Experience in planning and leading technical projects from inception to production.
  • Significant contributions to open-source Computer Vision and 3D Reconstruction libraries (OpenCV, COLMAP, NerfStudio, etc.).
  • Experience with CUDA or shader programming for performance optimization.

Benefits & conditions

Compensation Range: $189K - $255K

About the company

At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Join us as we build the real-world foundational models for physical AI, so people and machines can work efficiently and safely together.

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