Senior AI Optimization Engineer for Video Analysis

Senior AI Optimization Engineer for Video Analysis

Location: Israel (Caesarea) | Type: Full-time | Compensation: Options plan available | Start: immediate

About Argu

Argu builds Vision AI-driven products that require real-time performance, high reliability, and production-grade scalability. We are looking for an engineer who can take research-grade AI and computer vision systems and make them run fast, efficiently, and at scale across GPU servers and edge devices.

What You’ll Do

You will own the full pipeline from algorithm/model to production system.

Core Responsibilities

• Bring AI models to production: integrate, optimize, validate, deploy, monitor, and iterate.
• Optimize video AI pipelines for real-time inference (multi-stream, low latency, throughput-focused).
• GPU acceleration and inference optimization: CUDA, TensorRT, cuDNN, quantization, batching, memory management.
• Advantage: Edge AI deployment on NVIDIA Jetson (Orin/Xavier/Nano) and similar platforms.
• Computer Vision engineering: detection, tracking, classification
• Production-grade systems engineering: write efficient, maintainable code, harden performance, ship.
• Streaming architecture and scalability: design services for scalable video ingest, processing, analytics.
• Optimize end-to-end systems: profiling, bottleneck analysis, multi-threading, queues, memory, networking, IO.
• Collaborate with Product, AI researchers, and platform engineers to deliver stable releases.

What We’re Looking For (Must Have)

• Proven experience taking AI/CV systems from concept to production.
• Strong Python for AI workflows and tooling
• Strong C++ (C++17/20 preferred)
• Deep understanding of profiling and optimization across CPU and GPU.
• Hands-on experience with CUDA and inference tooling (TensorRT, cuDNN, Triton).
• Experience deploying to edge devices, particularly NVIDIA Jetson.
• Strong real-time CV pipeline experience: OpenCV, object detection (YOLO family), tracking.
• Understanding of video streaming fundamentals: frame timing, buffering, latency control, scaling.

Nice to Have

• Experience with NVIDIA Triton Server and multi-model GPU service orchestration.
• Experience with gRPC, Docker, and CI/CD.
• Experience with IoT/edge fleet patterns (MQTT).
• Linux system-level engineering, embedded environments, drivers, IO-heavy systems.
• Familiarity with GO

Why Join Argu

• Backed by some of the world's leading investors, like Andreesen Horowitz and tier 1 VCs
• You will be a focal point in a category-defining product and company
• You'll work with some really smart people
• You should be a person we can have a beer with after work