3D Computer Vision Engineer

Avala
San Francisco$130k – $190kPosted 27 March 2026

Job Description

3D Computer Vision Engineer Job Category: AI & Robotics ABOUT AVALA AI Avala AI is an AI Data Infrastructure company operating at the intersection of real-world AI and the labor economy. We specialize in high-quality data labeling, dataset management, and data visualization—offering 4D labeling solutions for autonomous vehicles, humanoid robots, and drone applications. Our mission is to empower AI-driven industries—AV companies, robotics innovators, and drone enterprises—with the data infrastructure needed to accelerate the next generation of intelligent systems, while also providing dignified digital work to individuals around the globe. THE ROLE As a 3D Computer Vision Engineer at Avala AI, you will design and implement state-of-the-art solutions for offline and online 3D reconstruction and scene understanding that are robust, accurate, and performant. You’ll work on a world-class spatial computing platform deployed at scale for autonomous vehicles, advanced robotic systems, and drone technologies. Your efforts will push the boundaries of real-world AI while leveraging modern deep learning and 3D computer vision techniques. WHAT YOU’LL DO - Spatial Computing & Reconstruction: Develop cutting-edge solutions using NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, and SLAM. - Mission-Critical Perception: Create robust 3D perception and scene understanding systems that enhance safety and performance for a wide range of robotics and AV applications. - 4D Data Labeling & Visualization: Collaborate with cross-functional teams to refine and scale Avala’s 4D labeling platform for cars, humanoid robots, and drones. - Software Engineering Best Practices: Employ strong coding, testing, and deployment practices to develop novel work quickly, safely, and efficiently. - Boundary-Pushing Innovation: Continuously explore new methods and technologies that push the envelope in 3D vision, neural rendering, and large-scale data processing. WHAT YOU’LL BRING - 3D Vision & Graphics Expertise: Experience with camera models, multi-view geometry, rendering pipelines, and one or more specialized areas such as object detection/tracking, pose estimation, depth estimation, panoptic segmentation, 3D reconstruction, visual SLAM, or neural rendering (e.g. NeRFs, Gaussian Splatting). - Solid Mathematical Fundamentals: Proficiency in linear algebra, computational geometry, vector calculus, probability theory, and numerical optimization. - Deep Learning Knowledge: Familiarity with modern architectures (transformers, diffusion models, autoregressive models, CNNs, etc.) and associated frameworks (PyTorch, TensorFlow, etc.). - Plus Skills: Experience with real-time graphics, sensor fusion, signal processing, computational photography, or robotics is a bonus. - Strong Engineering Foundations: Adherence to best practices in software development, ability to write clean and maintainable code, and a team-focused mindset for code reviews and collaboration. PAY TRANSPARENCY (CALIFORNIA ONLY) Base Salary Range: $130,000 – $190,000/year + cash + stock awards + benefits Your actual base salary and level will be determined on a case-by-case basis, factoring in job-related knowledge, skills, education, and experience. Base salary is only one aspect of total rewards at Avala; employees are also eligible for equity and comprehensive benefits. WHAT WE OFFER - Mission-Driven Work: Build solutions that positively impact underserved communities while innovating at the cutting edge of AI. - Career Growth: Rapid advancement opportunities for those who deliver outsized impact. - Excellent Insurance: Comprehensive medical, dental, and vision coverage starting Day 1. - Parental Leave: Flexible parental leave that supports work-life integration. - Time Off: Flexible time off + paid holidays. - Generous Equity & 401(k): Competitive ownership stakes in the company and robust retirement savings. EQUAL OPPORTUNITY ... (truncated, view full listing at source)
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