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SE3 Labs is hiring a Senior Perception Engineer to build the core perception stack for autonomous systems. You will work on detection, tracking, segmentation, and depth estimation, testing on mission data and field trials.
Strong programming skills, an advanced degree, and 2+ years of industry experience are required, with English fluency and defence-work eligibility. You’ll collaborate with founders and autonomy engineers to advance real-time perception and deploy models on onboard compute,
Join SE3 Labs as Senior Computer Vision Engineer - Perception Build the perception that lets SE3's autonomous systems see and understand the world, and test your work on real missions.
SE3 Labs builds spatial intelligence and autonomy software for unmanned systems. We combine 3D computer vision, state estimation and AI to help autonomous platforms perceive their surroundings, know where they are and operate when GPS and other sensors become unreliable. Defence is a core application of our work today. We are growing to a team of 100+ people. Join at a stage where you can shape our Perception team, help build the team and grow your responsibilities as the company expands. Our founding team's research has received more than 90,000 citations. You will work closely with technical founders and engineers with deep experience in computer vision and autonomous systems, turning that research depth into systems that work in the field.
As Senior Perception Engineer, you'll build core parts of SE3's perception stack, from object detection and tracking to semantic segmentation and depth estimation. You'll work closely with our perception leads, founders and autonomy engineers, testing your work on recorded mission data and in field trials. You don't need a career spent in computer vision: we care most about exceptional ability and a strong pull towards the field. What You'll Work On
Build and improve object detection and multi-object tracking for our autonomous platforms.
Develop semantic segmentation and depth estimation that give downstream autonomy a reliable view of the scene.
Prepare datasets, train and compare models, and choose approaches based on measured results.
Extend our evaluation and replay tooling so improvements are measured on recorded data before they reach the field.
Optimize models to run on onboard compute under real-time constraints.
Analyze mission logs, reproduce failures and fix root causes until the system holds up in real conditions.
Write clean, tested production code and review your teammates' work.