T

Perception Engineer

techtree • Switzerland
Remote
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AI Summary

TechTree is hiring a Perception Engineer to build and own perception systems for a multi-sensor security & robotics stack. The role involves cross-camera object re-identification, high-throughput object detection, and vision-language models. The ideal candidate has 3+ years of experience shipping computer vision or ML systems in production.

Key Highlights
Cross-camera object re-identification (ReID) for people and vehicles across distributed camera networks
High-throughput object detection and multi-object tracking across many simultaneous video streams
Vision-language models (VLMs) for open-vocabulary detection and scene understanding
Key Responsibilities
Build and own perception systems for a multi-sensor security & robotics stack
Cross-camera object re-identification (ReID) for people and vehicles across distributed camera networks
High-throughput object detection and multi-object tracking across many simultaneous video streams
Technical Skills Required
Python PyTorch TensorRT
Benefits & Perks
Remote work considered
Relocation to Zurich, Switzerland considered

Job Description


This is a role that TechTree is recruiting for on behalf of one of our clients.

TechTree is an AI-driven recruitment platform working with high-growth companies.

When you apply, our AI Agent matches you not just to this role, but to other relevant opportunities across our network, so one application can unlock multiple roles.

Perception Engineer — Own perception for a multi-sensor security & robotics stack (Zurich)

A founding team building the intelligent software that powers physical security in the real world — enabling robots and sensors to handle dangerous and critical tasks — is hiring a Perception Engineer to build and own their perception systems. This is a builder's role: start from the best available models and turn them into reliable, real-time systems that detect, track, and re-identify objects across cameras, running efficiently on edge hardware.

What You'll Work On

→ Cross-camera object re-identification (ReID) for people and vehicles across distributed camera networks

→ High-throughput object detection and multi-object tracking across many simultaneous video streams

→ Vision-language models (VLMs) for open-vocabulary detection and scene understanding

→ Video ingestion and streaming (RTSP, WebRTC) from camera to model

→ Edge deployment: TensorRT, quantization, pruning for real-time targets on Jetson and edge-class devices

What We're Looking For

→ 3+ years shipping computer vision or ML systems in production

→ Strong grasp of SOTA techniques for cross-camera ReID, detection, and tracking

→ Hands-on VLM experience

→ Experience deploying models to edge hardware (TensorRT, quantization, latency tuning)

→ Strong Python and PyTorch (or JAX)

→ Based in or willing to relocate to Zurich, Switzerland (remote considered for exceptional candidates)

What is TechTree?

TechTree combines AI agents with a human support team to give candidates a better, more transparent hiring experience.

Our AI Agent gets to know your background, experience, and what you're optimising for. It continuously matches you to live roles across our network where there's genuine alignment, not just keyword overlap.

Our Human Team is there to support you through the process — answering questions, adding context, and making sure you're never left guessing or ghosted.

We only post real jobs. Every role on TechTree is a live, active hire.

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