Вакансии: Разработка — Israel

Join a product-led team building an enterprise developer platform that helps engineering organizations manage tools, workflows, and AI-assisted development. Own backend features and integrations from concept through production while collaborating with product managers, customers, and the developerコミ

Develop high-performance DSP software and optimized vector-processing kernels for wireless communications and AI workloads. Build low-level embedded software focused on performance, accuracy, and real-time constraints.

Join a focused software engineering team developing real-time embedded applications for radar systems used on airborne and maritime platforms. The role involves advanced defense projects, multiple concurrent assignments, and occasional international customer travel based on operational needs.

Partner with enterprise clients to design, build, and deploy production-grade AI solutions. Develop LLM, RAG, agentic, API, and cloud-native systems while leading technical discovery and solution delivery.

Lead a team developing signal and image-processing algorithms for radar and electro-optical sensors used in advanced defense systems.

Join an automotive technology team developing the core software platform for software-defined vehicles. Design and deliver production-quality services for Linux and embedded environments, including workload orchestration, software deployment, vehicle communication, and system management. The role is

Lead the technical direction of an AI platform within a global HR software company. Design reliable, scalable AI infrastructure and agentic systems while helping multiple engineering teams deliver production-ready AI experiences.

Join an automation team developing and maintaining automated software tests across multiple projects. The role combines software testing methodology, Python automation, CI/CD integration, Git-based version control, and Agile development practices.

Join an enterprise cybersecurity team developing secure identity solutions across hybrid, SaaS, and on-premise environments. The role focuses on technical leadership, scalable architecture, and identity security innovation.

Develop software and machine learning infrastructure for large-scale search products, with a focus on specialized ML solutions, model optimization, and data processing.