Full Job Description

Xeye.ai redefines the future of crowd security by scanning for concealed items among many people at a distance with completely touchless, non-invasive, and safe technology. Our groundbreaking near-field electromagnetic imaging will protect the public’s right to safety and security without sacrificing their freedom of movement: No gates, no metal detectors, and no stopping each and every person for an inspection. Instead, checking everyone at once, in the open, and in motion. The company is backed by world-class investors, with a proven track record, has completed extensive PoC, and is on its way to commercialization.

We are looking for a passionate Sr. C++ CUDA Engineer with the ability to write world-class fast, efficient, low-latency code for Xeye’s ground-breaking technology. The ideal candidate will be able to understand, implement and performance optimize complex algorithms in Xeye’s detection pipeline.

Required Qualifications

• B.Sc. in computer science / SW engineering / electrical engineering.
• Expert level in C++, CUDA, and working knowledge of Python.
• Experience with parallel programming on NVIDIA GPUs using CUDA
• Deep understanding of Linux anatomy, user-space processes, daemons, boot process, networking (network drivers deployment) and scripting (Bash)
• Experience writing real-time coding, including complexity analysis and performance optimization.
• Experience with Multi-threading, OOD and Design pattern

Nice to have

• Experience with fast packet processing technologies (VPP, ODP, DPDK, etc.) – major advantage
• Linux kernel development - an advantage

Job scope:

• Full time position
• Company office in Tel Aviv