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Secure firmware and custom processors that support large-scale cloud workloads. Work with hardware and firmware teams on low-level security architecture, research, and testing.

Annapurna Labs is hiring a Post-Silicon Development Engineer in Haifa, Israel, to help develop semiconductor platforms and next-generation products for cloud infrastructure. The role involves hardware and software development, simulation, debugging, and validation in a fast-paced engineering and].

Lead go-to-market strategy and adoption of generative and agentic AI services across Israel and Sub-Saharan Africa. Develop customer programs, enable sales teams, and help enterprises move from experimentation to broad AI value creation.

Join a three-month training program for physical design engineers working on semiconductor products for cloud infrastructure. The program is intended for recent electrical or computer engineering graduates and final-year students.

Join an Israel-based engineering team developing embedded software for custom silicon and high-performance infrastructure platforms. The role covers firmware, device drivers, bare-metal and RTOS applications, and hardware-software integration.

Develop mission-critical embedded software for cloud infrastructure, custom silicon, networking, machine learning acceleration, and high-performance computing.

Join a semiconductor engineering team developing embedded software for next-generation networking products and cloud infrastructure.

Design and deliver complex hardware blocks for custom semiconductor products, supporting development from specification and RTL implementation through validation and production.

Lead customer engagements from discovery through production implementation, designing and delivering scalable AI/ML and generative AI solutions on cloud platforms.

Join a performance engineering team developing software for machine learning accelerators and optimizing workloads across the ML software stack. The role is based in Tel Aviv and focuses on high-performance systems, kernels, SDK capabilities, and end-to-end efficiency.