Senior Computer Vision Engineer Remote | $155,000 – $205,000

Reimagine 3D Perception for the Real World Step into the future of perception. Join a cutting-edge team that’s redefining how machines see and understand the world, without relying on expensive sensors like LiDAR or radar. This stealth-mode innovator is building a groundbreaking platform that converts simple camera feeds into rich, semantic 3D maps of the environment. Think real-time, high-definition perception using only passive sensors, camera and IMU, with massive implications across autonomous vehicles, defense systems, agriculture, robotics, and even medical tech. With strong backing from top-tier investors (including Khosla Ventures) and nearly $8M in funding raised, the company is scaling its engineering team to push the boundaries of what’s possible in 3D computer vision.

What You'll Do As a Senior Computer Vision Engineer , you’ll work on hard problems at the intersection of geometry, sensor fusion, and SLAM. You’ll write high-performance C++ code to bring perception algorithms to life on real-world systems that operate in real time. Your impact: Design and deploy 3D vision algorithms for dense scene understanding and real-time perception Tackle challenges in pose estimation, camera/IMU calibration, and multi-sensor fusion Optimize code for performance using modern C++ and parallel computing frameworks (CUDA, Metal, OpenCL) Solve core SLAM and geometry problems with a focus on accuracy, speed, and robustness Collaborate with world-class engineers and integrate algorithms into deployed autonomous platforms Support distributed, remote-first workflows (aligned to Pacific Time hours) Contribute to high-impact projects, including work with defense applications and field-ready systems

What You Bring 5–15 years of software engineering experience, with at least 3 years in 3D computer vision Deep expertise in SLAM, structure-from-motion, or multi-view 3D reconstruction Mastery of C++ in high-performance production environments Strong understanding of 3D geometry, linear algebra, and non-linear optimization Experience with pose estimation, camera models, and sensor fusion Parallel computing proficiency (CUDA, Metal, or OpenCL) Advanced degree (MS or PhD preferred) in Computer Science, Robotics, or related field Proven success shipping real-world vision solutions—not just research demos Self-driven, remote-ready, and comfortable working across time zones