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München, Bayern, Deutschland
Onsite
Join SE3 Labs as a Senior Computer Vision Engineer - Perception 🚀
Build the perception that enables SE3's autonomous systems to see and understand the world, testing your work on real missions.
SE3 Labs specializes in developing spatial intelligence and autonomy software for unmanned systems. We leverage 3D computer vision, state estimation, and AI to help autonomous platforms perceive their surroundings, determine their location, and operate reliably, even when GPS and other sensors are compromised.
Our work today has significant applications in defense. As we grow to a team of over 100 people, you have the opportunity to shape our Perception team, expand your responsibilities, and contribute to our ongoing expansion.
Our founding team's research has garnered more than 90,000 citations, reflecting our deep expertise. You'll collaborate closely with founders and engineers experienced in computer vision and autonomous systems, translating research into field-ready solutions.
As a Senior Perception Engineer, you'll develop core components of SE3's perception stack, including object detection, tracking, semantic segmentation, and depth estimation. Your work will be tested on recorded mission data and in field trials, with mentorship from perceived leads, founders, and autonomy engineers.
No prior career solely in computer vision? No problem! We value exceptional ability and a strong passion for the field above all.
Detection & Tracking: Build and enhance object detection and multi-object tracking systems for our autonomous platforms. 🚗
Segmentation & Depth: Develop semantic segmentation and depth estimation for reliable scene understanding. 🌐
Data & Training: Prepare datasets, train, compare models, and select approaches based on measured outcomes. 📊
Evaluation & Replay: Extend evaluation tools to measure improvements on recorded data before deployment. 🔄
Real-Time Deployment: Optimize models for onboard compute, ensuring real-time performance. ⚡
Field Debugging: Analyze mission logs, reproduce failures, and resolve root causes for real-world robustness. 🔧
Code Quality: Write clean, tested production code and review your teammates' work. 💻
You take ownership of problems from conception to deployment and learn new areas quickly. 🚀
You hold an M.Sc. or Ph.D. in Computer Science, Computer Vision, Robotics, Mathematics, Physics, or related fields, 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-caliber technology company, research lab, or startup. 💼
You have a strong interest in computer vision demonstrated through coursework, research, projects, or work experience. 🌟
You're a proficient programmer capable of writing production-quality code. 🖥️
Fluent in English; German language skills are a plus. 🗣️
Must be eligible to work on defense-related projects and, where required, obtain relevant security clearances. 🔐
Publications at CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR. 📑
Contributions to open-source computer vision or robotics projects. 🌐
Experience in robotics or autonomous racing student teams. 🏁
Deploying models on edge compute platforms such as Jetson-class devices. 🚀
Hands-on experience with drones or robots in the field. 🛩️
Real Ownership: Participate in SE3’s growth through our employee participation program. 🌱
Work Environment to Excel At: Access to high-quality tools, a flat hierarchy, and a driven team. 🛠️
AI-Boosted Workplace: Use of cutting-edge AI tools and agents for enhanced productivity. 🤖
Paid Time Off: 31 days including 30 vacation days plus your birthday. 🎉
Well-Being Access: Free memberships to gyms, yoga, and wellness services through EGYM Wellpass. 🧘♂️
Team Offsites: Bi-annual retreats, with recent trips to Italy and Greece. 🌍
Mentorship: Work closely with experienced engineers and receive professional guidance. 🤝
Intro Call (30 min): Get to know each other. ☎️
Coding / Algorithm Interview (90 min): Solve a practical perception or computer vision problem. 💻
Technical Interview (1 hr): Discuss your background, projects, and how you measure and debug models. 🧠
Team Dinner / Lunch: Meet the team and see if it’s a mutual fit.
