למצוא עבודה שמתאימה לך

Own the design and implementation of the company’s data infrastructure and analytics ecosystem. This first dedicated data role reports to the CTO and is based in a hybrid Tel Aviv R&D center, with two remote workdays per week.

Lead a distributed software engineering team building AI-enabled SaaS for manufacturing. This hybrid role is based in Tel Aviv and includes regular office attendance three or more days per week.

Join a system and algorithms team developing digital signal-processing algorithms for coherent optical communication systems, from initial research through production. The role is based in central Israel with a hybrid schedule that includes two work-from-home days per week.

Join a multidisciplinary team testing software for X-ray metrology products. Own test planning, documentation, execution, and automation, and mentor junior testers.

Own infrastructure and deployment for real-time video and AI systems running primarily on customer premises and also in the cloud. Shape reliability, security, and engineering practices as an early member of the team.

Join a QA and automation team validating storage and AI infrastructure products. Develop Python test suites in Linux and work with R&D teams to diagnose distributed systems and test low-level communication protocols.

Join a core R&D team building performance-critical infrastructure software for a platform that manages and processes large-scale enterprise data. Work across kernel-level components, low-level system primitives, and distributed subsystems, with the technical focus tailored to your expertise. The C++

Join an AI-focused company delivering enterprise applications. Own and improve the infrastructure, security, and deployment processes that support customer-hosted platform environments.

Develop Python packages, internal tools, automation flows, CI processes, and integrations with hardware and lab equipment at a quantum computing company. The team is based at the Science Park near the Weizmann Institute and collaborates with its experimental and theoretical groups.

Join a client team to turn an AI product concept into a working MVP. Shape its architecture and technical direction across LLMs, autonomous agents, backend engineering, and distributed systems.