Staff Computer Vision Engineer - Perception

Responsibilities

• Shape the architecture of the perception stack and drive core algorithmic decisions together with the team lead.
• Build object detection and multi-object tracking that stay reliable on real mission data.
• Develop semantic segmentation and depth estimation that give downstream autonomy a dependable picture of the scene.
• Design the evaluation and replay loop so the team iterates mostly on recorded data, with clear metrics, benchmark datasets and regression tests.
• Optimize models for onboard compute and take them through field trials until they work under real operating conditions.
• Contribute to the perception roadmap by identifying the problems that matter most for field performance.

Requirements

• You hold a Ph.D. with 3+ years of industry experience, or an

Preferred

• 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.

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.

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.

M.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.

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 (30 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 perception systems you have built and shipped, the hardest technical decisions you have made and how you raise the bar for a team.
• Team Dinner / Lunch: Meet the team and see whether it is a strong fit on both sides.