Вакансии: Israel

Support and continuously improve manufacturing execution systems and workflows, develop data dashboards, integrate enterprise systems, and lead process improvement initiatives in semiconductor manufacturing.

Senior Site Reliability Engineer responsible for designing and operating large-scale compute cloud infrastructure for chip design and deep learning workloads. Focus on architecture, resource optimization, capacity planning, and scaling across global HPC environments.

Lead a software engineering team developing manufacturing test solutions for networking hardware. Manage project lifecycle, define product strategy, and drive test automation. Collaborate cross-functionally to ensure high-quality production software.

Plan and write comprehensive test plans, execute manual and automated tests, track issues, and collaborate with development teams. Requires 4+ years testing complex products, Python, Linux, and experience with UI/API testing.

Design and develop core components for a large-scale distributed system, owning areas such as high availability, data management, security, and telemetry. Requires strong C/C++ skills, ability to design, code, and debug, and mentor junior engineers.

Lead production infrastructure, platforms, and services, driving scalable solutions, system architecture, and reliability improvements. Collaborate across teams to enhance troubleshooting, automation, and incident management.

Responsible for maintaining production infrastructure, platforms, and services; designing scalable solutions; performing deep drill down analysis; investigating errors; and improving performance and reliability.

Design, build, and scale backend systems powering a transportation technology platform. Focus on geospatial data pipelines, database optimization, and distributed services in a hybrid role based in Tel Aviv.

Hiring a Data Engineer to design and maintain scalable, low-latency data pipelines and big-data infrastructure for high-throughput real-time systems. You will own data modeling, optimization, observability, and collaborate across engineering, security, and data science teams.

Lead advanced development and proof-of-concept efforts for AI infrastructure solutions in GPU networking. Integrate innovative software and hardware, collaborate with distributed AI, deep learning, and networking teams. Requires C/C++, Linux, virtualization, networking, and storage expertise.