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.

• Detection & Tracking: Build and improve object detection and multi-object tracking for our autonomous platforms.

• Segmentation & Depth: Develop semantic segmentation and depth estimation that give downstream autonomy a reliable view of the scene.

• Data & Training: Prepare datasets, train and compare models, and choose approaches based on measured results.

• Evaluation & Replay: Extend our evaluation and replay tooling so improvements are measured on recorded data before they reach the field.

• Real-Time Deployment: Optimize models to run on onboard compute under real-time constraints.

• Field Debugging: Analyze mission logs, reproduce failures and fix root causes until the system holds up in real conditions.

• Code Quality: Write clean, tested production code and review your teammates' work.

   

• You take ownership of problems from first idea to deployed result, and you learn new areas quickly.

• You hold an M.Sc. or Ph.D. in Computer Science, Computer Vision, Robotics, Mathematics, Physics or a related field, with an outstanding academic record such as top grades, research assistant roles, awards or competition wins.

• You bring 2+ years of practical experience at a high-calibre technology company, research lab or startup.

• You have a strong interest in computer vision, shown through university courses, research, projects or work. If you studied it and want to get back to it, we want to hear from you.

• You're a strong programmer who writes production-quality code.

• You speak fluent English; German is a plus. Given the nature of SE3's work in the defence sector, candidates must be eligible to work on defence-related projects and, where required, obtain the relevant security clearance.

• Publications at CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR.

• Contributions to open-source computer vision or robotics projects.

• Experience in a robotics or autonomous racing student team.

• Deploying models on edge compute such as Jetson-class platforms.

• Hands-on time with drones or other robots in the field.

• Real Ownership: Participate in SE3’s growth through our employee participation programme

• Work Environment to Excel at: Find a high-quality and modern toolset, flat hierarchy and a skilled, driven team which will push the limits together with you

• AI-boosted workplace: We empower every employee with best-in-class AI tools and agents, giving you unlimited access to the latest advancements and a true productivity edge

• 31 Paid Days Off: 30 vacation days plus your birthday off

• Well-being Access: Free membership to gyms, yoga, and wellness through EGYM Wellpass

• Team Offsites: We go on 2 company retreats per year, our last ones were in Italy and Greece

• Mentorship: Work closely with experienced engineers and get paired with a professional mentor to support your growth

1. Intro Call (30 min): Let’s get to know each other

2. Coding / Algorithm Interview: (90 min): We work through a practical computer vision or perception software problem together.

3. Technical Interview (1 hr): We dive into your computer vision background, the systems and projects you have built and how you measure and debug model performance.

4. Team Dinner / Lunch: Meet the team and see whether it is a strong fit on both sides.