Senior/VP AI/ML Engineer for video analysis

📡 Senior Computer Vision Engineer - Scalable Video Intelligence Systems

Location: Tel-Aviv / Israel (On-site)

Type: Full-time

Seniority: Senior / VP / Team leader

The Mission

We’re building AI systems that watch the real world at scale - intelligently, securely, and fast. This is not just another CV startup. We're working with real-time video at the edge, deploying state-of-the-art vision models across distributed environments, and pushing the boundaries of what LLMs + VLMs can do when they meet massive, high-frequency sensor data.

We are backed by the world's highest-profile VCs, and accepted into the hardest-to-get-into startup program in the world.

What You’ll Do

• Implement high-throughput, low-latency inference pipelines using tools like TensorRT, DeepStream, or custom CUDA kernels.

• Integrate distributed and redundant CV systems in multi-tenant, secure environments - where failover, logging, and observability matter.

• Architect and deploy real-time video analytics systems across edge/on-prem environments - including camera ingestion, inference pipelines, and smart alerting.

• Develop internal tools for video search and semantic indexing, and real-time event tagging over massive, continuous video streams.

• Collaborate with infrastructure engineers, security specialists, and applied AI researchers to ship scalable, production-grade systems.

The Perfect Candidate

• Thrives in high-pressure, high-demand environments like startups

• Can build the remaining parts of the plane in mid-flight

• Obsessed with stability, latency, and observability at scale.

• Has designed and architected surveillance-grade CV systems capable of managing thousands of concurrent video streams across on-prem and edge nodes.

• Built systems combining different AI/CV pipelines, LLMs and VLMs, for real-time data processing

• Thinks like a systems engineer, executes like a hacker, and debugs like a surgeon.

Tech Stack & Environment

- Languages: Python, CUDA

- Frameworks: PyTorch, TensorFlow, OpenCV, MMDetection, Detectron2

- Tooling: TensorRT, DeepStream, ONNX, Triton Inference Server, Weights & Biases

- Infra: Kubernetes, Docker, gRPC, Kafka, Redis, NVIDIA Jetson/Orin, edge compute

- Storage & Indexing: Chroma, FAISS, Milvus

Bonus Points For:

- Experience in multi-camera synchronization, thermal/IR models, or video anomaly detection

- Building CV/ML systems for regulated industries (e.g. defense, smart cities, industrial monitoring)

- Contributions to open-source AI projects (or publications in CVPR, ECCV, NeurIPS)

- Understanding of security/zero-trust principles in sensitive deployments

What you'll get

·       Competitive salary

·       Equity plans with growth-tied upside compensation

·       Benefits aligned with location

·       Work on breakthrough, world's-first technology that impacts millions of lives

·       Quick start and hiring process