Вакансии: Разработка

Design and improve large-scale LLM inference systems running across GPU clusters. Work across software and hardware domains to shape production infrastructure for generative AI.

Join a software team developing applications for a large-scale algorithmic trading and trade execution platform. Own software development from research and design through deployment, with a focus on code quality, performance, and scalability.

Join a customer-embedded engineering pod to build, evaluate, and deploy production AI capabilities. You will create customer-specific solutions using shared platform components, and promote proven patterns into reusable platform capabilities.

Lead the technical strategy and architecture for reliable, secure, high-performance cloud services. Advance AI-assisted engineering workflows, developer platforms, and infrastructure practices. The role is based in Tel Aviv-Yafo; most teams work from the office full time, with flexibility when it is

Provide customer-facing engineering support for integrating memory subsystem IP into ASIC and SoC designs. Work with customers and cross-functional teams on integration, troubleshooting, validation, and silicon bring-up.

Join an R&D team building a core payments platform. Own product development end to end across systems that authorize, settle, and reconcile transactions. This individual-contributor role offers scope to set technical direction and grow into engineering leadership.

Own DevOps, infrastructure, security, release, and reliability for a mission-critical AI observability platform deployed as SaaS and on-premises. Partner with software and AI engineers to deliver secure, scalable services for enterprise customers.

Build AI-powered tools and services on an internal DevOps platform. Partner with development teams to deliver AI applications to production securely and efficiently. The role is based in an organization where most teams work from the office; future on-call rotations are expected. Immigration visa no

Develop and optimize diagnostic software for networking platforms, connecting hardware behavior with software-level diagnostics. Own features through the software development lifecycle and collaborate with hardware, firmware, and driver teams.

Support and improve large-scale high-performance computing infrastructure, from server configuration to application-level troubleshooting. Help automate operations and maintain reliable compute environments.