Technical Lead, Computer Vision

Niantic; San Francisco (CA); Ibrido; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Niantic is seeking a Tech Lead for the Applied Computer Vision Algorithms Team to advance 3D reconstruction, SfM, and Gaussian splatting within our geospatial AI platform. You will translate cutting-edge research into production-grade features and mentor a team of CV engineers in a high-growth environment.

You will collaborate with R&D and product teams, optimize GPU-accelerated code in C++ and Python, and help define the team's technical roadmap while delivering robust, real-world spatial

Competenze

• 8+ years of professional experience in Computer Vision or Machine Learning (or 6+ years with a PhD).
• Proficient in production-level C++ and Python.
• Strong background in 3D CV/ML, SfM, 3D reconstruction, Gaussian splatting.
• Experience optimizing algorithms for GPUs in Android/Linux environments.
• Previous tech leadership in a CV/ML team in high-growth settings.

Mansioni

• Translate cutting-edge research papers into production-grade features.
• Lead design and implementation of 3D reconstruction pipelines (SfM, meshes, Gaussian splats).
• Develop and optimize Gaussian Splatting quality algorithms for CPU/GPU.
• Write and maintain high-performance, shader-based production code in C++ for Android and Linux.
• Define technical roadmap and provide mentorship and code governance.

Conoscenze

C/C++

Python

3D Computer Vision

Gaussian Splatting

SfM

GPU optimization

Leadership

Formazione

Bachelor's degree in CS/Engineering

Master's or PhD preferred

Strumenti

CUDA

Shader programming

OpenGL

Descrizione del lavoro

At Niantic Spatial, we’re building the future of geospatial AI. Powered by a proprietary database of over 30 billion posed images and a groundbreaking third-generation digital map, our mission is to develop spatial intelligence that helps both humans and machines better understand, navigate, and engage with the physical world. Our high-fidelity mapping technology unlocks a new dimension of interaction- laying the foundation for AI to truly comprehend and operate within real-world environments. Join us as we build a living model of the world that people and machines can talk to.
As a Tech Lead for the Applied Computer Vision Algorithms Team, you’ll help drive our "Reconstruct", "Understand" and "Localization" capabilities. This team is responsible for creating the high-fidelity visual and semantic maps—specifically textured, semantic meshes, and Gaussian Splats— as well as localization maps that allow our Large Geospatial Model (LGM) to perceive the world with human-like precision. Closely working with the R&D and product teams your work will bridge the gap between cutting-edge theory and real-world utility, turning complex geospatial data into a persistent sense of space for the next generation of AI and robotics.

Job Responsibilities

• Applied Research & Implementation: Actively translate top-tier research papers (e.g., from CVPR, ECCV, NeurIPS) into production-grade features within our tech stack.
• Technical Leadership: Lead the design and implementation of 3D reconstruction pipelines, focusing on Structure from Motion (SfM) and high-fidelity mesh generation as well as 3D gaussian splats.
• Algorithm Optimization: Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU.
• Production Implementation: Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments.
• Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar.
• Cross-Functional Collaboration: Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans.
• Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.

Job Requirements

• Years of Experience: 8+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 6+ years with a PhD in a relevant domain).
• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
• Core Technical Skills: Strong proficiency in C/C++ and Python for production-level software development.
• Specialized Expertise: Proven experience in 3D Computer Vision/ML, specifically with Structure from Motion (SfM), 3D reconstruction, and Gaussian Splatting rendering techniques.
• Hardware Optimization: Demonstrated ability to optimize algorithms for GPUs in Android or Linux environments.
• Graphics Knowledge: Experience with computer graphics and C++ shader-based implementations.
• Technical Leadership Experience: Previous experience tech leading a team of computer vision engineers in a high-growth environment.
• Work Location: This position requires 3 days per week in our San Francisco OR Sunnyvale office.