Staff Computer Vision Engineer - Localization

What You’ll Work On

• VIO, SLAM and Sensor Fusion: Build and improve localization algorithms for autonomous systems operating with degraded or unavailable GNSS. Our initial focus is UAVs, with methods that can extend to other robotic platforms.
• Robustness: Solve difficult failures caused by low light, rain, fog, motion blur, vibration and sensor degradation. Investigate better estimation, learned methods and data where each can improve measured performance.
• Mapping and Relocalization: Develop mapping, loop closure, relocalization and map-based navigation. Make pose, velocity and uncertainty estimates useful to planning, control and the rest of the autonomy stack.
• Calibration and Timing: Solve problems in camera and IMU calibration, sensor synchronization, rolling shutter, latency and frame drops. Work across algorithms and integration to find the root cause.
• Real-Time Deployment: Design and optimize production software for Jetson-class platforms and other constrained CPUs and GPUs. Measure the tradeoffs between accuracy, robustness, latency, memory and power.
• Evaluation: Build the evaluation and replay tools that let us reproduce failures, compare approaches and detect regressions. Validate improvements on recorded data and deployed systems.
• Technical Leadership: Lead difficult technical projects, review designs and code, and teach other engineers what you learn. Help the team choose where deeper algorithm work will make the largest difference.

Your Profile

• You have personally built and deployed VIO, SLAM, localization or sensor-fusion systems. You can explain the parts you implemented, the alternatives you considered, the failures you solved and the measured results.
• You have solved problems that span algorithms, sensors and runtime constraints, and can show improvements in accuracy, robustness or compute cost.
• You have strong foundations in 3D geometry, linear algebra, probability, estimation and optimization, with practical experience in methods such as EKFs, factor graphs, nonlinear least squares and bundle adjustment.
• You write production C++ for Linux systems and use Python for analysis, evaluation and tooling. Rust experience is a plus.
• You have worked with real cameras and IMUs, calibration and timing. You use logs, reproducible experiments and regression tests to establish why a change works.
• You have led substantial technical work and helped other engineers improve their designs and implementation. You remain comfortable writing and debugging the critical code yourself.
• You have a master’s degree, PhD or equivalent practical experience in a relevant technical field.
• 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

• Experience deploying perception systems on Nvidia Jetson, embedded CPUs/GPUs, writing CUDA kernels, optimizing deep neural networks for edge deployment.
• Experience with LWIR thermal cameras (for navigation), rolling shutter effects, visual-inertial calibration, multi-camera rigs, fisheye/wide-angle lenses or monocular depth.
• Experience with GNSS-denied navigation in UAV context, terrain-relative navigation, map-based localization and re-localization.
• Experience building evaluation datasets, replay systems, perception observability, log tooling, and automated regression pipelines.
• Publications or open-source contributions in SLAM, VIO, 3D computer vision, state estimation, or robotics are welcome, but not required.

Perks & Benefits

• 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

Our Process

• Intro Call (15 min): Let’s get to know each other
• Coding / Algorithm Interview: (90 min) : We work through a practical perception, estimation, or robotics software problem together
• Technical Interview (1 hr): We dive into your experience with perception, state estimation, SLAM/VIO, robotics, and real-world debugging
• Team Dinner / Lunch : Meet the team and see whether it is a strong fit on both sides.

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CNET · 25 days ago

Posted Nov 01, 2026

Posted Nov 01, 2026