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Staff Perception

Se3·Munichsenior

In short

  • →Ingeniero de visión por computadora de nivel técnico líder, construyendo sistemas de percepción para plataformas autónomas en entornos reales.
  • →Día a día: diseñar, codificar y optimizar modelos de detección, seguimiento, segmentación y profundidad, con foco en despliegue en campo.
  • →Destacado: Trabajar directamente con fundadores de alto impacto y llevar sistemas desde datos grabados hasta pruebas en misiones reales.

Fluent English required; German is a plus.

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The questions they'll ask you

1. ¿Cómo diseñarías un sistema de seguimiento multi-objeto robusto ante occlusiones en escenas dinámicas de UAV?

2. ¿Qué métricas usarías para evaluar el desempeño de un modelo de segmentación semántica en campo, y cómo las implementarías en un loop de repetición?

3. Describe un caso donde optimizaste un modelo de detección para ejecutarse en un dispositivo de bajo poder como Jetson en tiempo real.

🔒 +7 more questions

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What they ask for

  • ✓Ph.D. con 3+ años en industria o M.Sc. con 6+ años en visión por computadora, robótica o campo relacionado.
  • ✓Experiencia probada en sistemas de percepción que se han desplegado y funcionado en el mundo real.
  • ✓Experto en detección, seguimiento, segmentación semántica y estimación de profundidad.
  • ✓Capacidad para liderar técnicamente sin roles de gestión: revisión de diseño, mentoría por ejemplo.
  • ✓Fluente en inglés; conocimiento de alemán es una ventaja.
  • ✓Elegibilidad para trabajar en proyectos de defensa y obtener acreditación de seguridad si es necesario.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

3D Computer VisionState EstimationAIObject DetectionMulti-Object TrackingSemantic SegmentationDepth EstimationReal-Time SystemsJetson-class platformsBenchmark Datasets

Who should you write to at Se3?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Join SE3 Labs as Staff Computer Vision Engineer - Perception Take on SE3's hardest perception problems as a hands-on technical leader, and ship systems that work on real missions. About SE3 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. About the Role As Staff Computer Vision Engineer - Perception , you'll set technical direction for SE3's perception stack across object detection, tracking, semantic segmentation and depth estimation, and spend around 80% of your time building it yourself. You'll work closely with our perception lead, founders and autonomy engineers, shaping architecture and core algorithmic decisions without people-management responsibility. Your work moves from recorded data to field trials and determines how well our platforms understand their surroundings. What You’ll Work On Architecture & Algorithms: Shape the architecture of the perception stack and drive core algorithmic decisions together with the team lead. Detection & Tracking: Build object detection and multi-object tracking that stay reliable on real mission data. Segmentation & Depth: Develop semantic segmentation and depth estimation that give downstream autonomy a dependable picture of the scene. Evaluation & Replay: Design the evaluation and replay loop so the team iterates mostly on recorded data, with clear metrics, benchmark datasets and regression tests. Real-World Deployment: Optimize models for onboard compute and take them through field trials until they work under real operating conditions. Technical Roadmap: Contribute to the perception roadmap by identifying the problems that matter most for field performance. Technical Leadership: Raise the engineering bar through design and code reviews, and mentor engineers by example. Your Profile You take ownership of hard problems and want to solve them hands-on, spending most of your time designing, coding and testing. D. Sc . with 6+ years, in Computer Vision, Robotics, Computer Science, Electrical Engineering or a related field. You have a proven record of building perception systems that shipped and worked in the real world, in robotics, autonomous driving, AR/VR, drones or adjacent domains. You bring deep expertise across modern perception, including object detection, tracking, segmentation and depth estimation, and you base design decisions on evaluation data. You lead through technical influence, setting direction, reviewing designs and helping others grow, without needing a management role. 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. Especially Valued Bonus Skills Publications at CVPR, ICCV, ECCV, NeurIPS or similar venues. Contributions to well-used open-source computer vision or robotics projects. Academic research or teaching experience alongside industry work. Deploying models on real-time, resource-constrained compute such as Jetson-class platforms. Field experience with UAVs or other robots that get tested outside the lab. Perks & Benefits Real Ownership: Participate in SE3’s growth through our employee participation programme Work Environment to Excel a

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