Вакансии: Разработка — Israel

Develop real-time embedded software and integrate computer vision and AI algorithms on advanced edge platforms.

Build secure, production-ready infrastructure and products for AI agents. The role focuses on backend services, agent control planes, developer tooling, integrations, and observability for reliable AI systems.

Lead the architecture and development of low-level firmware and adaptive DSP control systems for high-speed physical-layer communications silicon. The role may be based in Sunnyvale, Haifa, or Tel Aviv.

Own machine learning models and optimization algorithms for a real-time transportation dispatch system. Develop scalable decision-making solutions from research and prototyping through production deployment and iteration.

A technology company is seeking a Solutions Architect for a 12-month contract in Tel Aviv. The role advises enterprise advertisers and partners on scalable advertising platform architectures, API integrations, measurement solutions, and data connectivity.

A global cloud data platform company is seeking a senior software engineer for its Database Operations team. The role focuses on automating and improving the scalability, reliability, and operational quality of managed PostgreSQL, MySQL, and Valkey services.

Join an automotive technology company’s internal engineering platform team. Lead frontend architecture and build intuitive, scalable web applications that improve developer productivity across the organization.

Join an AI hardware engineering team responsible for power and performance optimization at pod scale. The role owns telemetry, modeling, benchmarking, and capacity metrics for large-scale AI data-center systems. This is a hybrid position based in Israel, with locations in Haifa and Petah-Tikva.

A defense technology organization is seeking a Senior ITOps and Observability Engineer in Modi'in to improve visibility, reliability, and proactive monitoring for mission-critical systems, including air-gapped environments.

Design and implement advanced, production-ready storage systems for AI/ML workloads on a cloud platform. Lead technical architecture, optimize performance, and collaborate with product and engineering teams on complex storage initiatives.