Real-Time Vision Engineer for Autonomous Security

Laelaps AI Ltd.; Zürich; Vor Ort; CHF 110.000 - 150.000; Vollzeit

Zusammenfassung

Laelaps AI Ltd. is seeking a Software Engineer on Command Centre to own vision-agents that turn camera and robot feeds into tracked objects and decisions an operator can trust.

You will work with closed-set and open-vocabulary detectors, trackers and a vision-language model across GPU servers on customer sites and in the cloud. You will start from state-of-the-art models, optimize them for live-site performance, and own the service end-to-end—from data pipelines and models to evals, privacy and

Qualifikationen

• 3+ years building real-time computer vision or ML systems in production.
• Strong Python and software engineering: async services, testing, profiling and clean interfaces.
• Hands-on experience with object detection, multi-object tracking and re-identification across multiple cameras.
• Real-time video: RTSP, GStreamer or DeepStream, hardware decoding and multi-stream pipelines.
• Model optimization and serving: ONNX, TensorRT, quantization, and serving large models with vLLM or similar.
• Experience building with vision-language models and evaluating them rigorously.
• Docker and Kubernetes.

Aufgaben

• Service ownership: architecture, code quality, performance and behaviour on live sites for the vision-agents service.
• Streaming at scale: RTSP ingest from cameras and robots through GStreamer and DeepStream, batching, reconnects, latency, and adding or removing cameras at runtime without disturbing the others.
• Detection, tracking and re-identification: closed-set and open-vocabulary detectors, multi-object tracking, and cross-camera ReID that keeps identities through occlusions.
• Natural-language monitoring: the loop in which a vision-language model reasons over frames and tracking context to decide what is an alert, and the prompt contract with the console.
• Evaluation: fixture-based evals and benchmarks so no model, prompt or engine change ships without evidence, measured as false alerts and misses on real site data.
• Performance and GPU budget: TensorRT engines, INT8 and FP16 quantization, and scheduling many camera streams and a vision-language model on one GPU, including admission control for model traffic.
• Privacy by design: privacy zones and face pixelation that fail closed before any frame is stored or analysed.
• Access control: licence-plate reading and vehicle and person rules at site gates.
• Deployment: containers on Kubernetes, on-prem and in the cloud, together with our infrastructure engineers.

Kenntnisse

Python programming

Real-time computer vision

Software engineering

Profiling GPU pipelines

Vision-language models

Tools

Docker

Kubernetes

ONNX

TensorRT

GStreamer

DeepStream

vLLM

Jobbeschreibung

Laelaps AI Ltd. is seeking a Software Engineer on Command Centre to own vision-agents that turn camera and robot feeds into tracked objects and decisions an operator can trust.

You will work with closed-set and open-vocabulary detectors, trackers and a vision-language model across GPU servers on customer sites and in the cloud. You will start from state-of-the-art models, optimize them for live-site performance, and own the service end-to-end—from data pipelines and models to evals, privacy and