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Vertical Compute is seeking a Front-End RTL Designer to lead top-level SoC and chiplet integration, focusing on integrating IPs and the VIM™ technology for high-performance AI accelerators.
You will work with verification and physical design teams to ensure PPA targets are met while communicating effectively in English across a fast-paced hardware group.
About Us : AI compute is hitting a hard physical wall, and memory bottlenecks are throttling the entire industry. Founded in October 2024 and backed by €57M in funding, Vertical Compute is solving this with proprietary Vertical Integrated Memory (VIM™) chiplets, making AI hardware faster, greener, and vastly more scalable. We are an interdisciplinary team transforming breakthrough semiconductor physics into commercial reality.
Why Now : After 18 months of intensive R&D, Vertical Compute has reached a critical inflection point. Our underlying technology is validated, and we have successfully met our core technical milestones. Armed with a proven technical data package and ongoing system studies, we are now shifting from pure R&D to active engagement with global enterprise customers. As we prepare for our next phase of scale and growth starting in 2027, joining us today means taking direct ownership of the hardware foundation that will power the next era of AI compute.
We are looking for a Front-End RTL Designer to contribute to building our Vertical Compute's 3D-integrated chiplets. In this role, you will focus on top-level integration and integrating all IPs to build the AI accelerator that will demonstrate the full potential of our Vertical Integrated Memory (VIM™) technology. You will handle full SoC integration, working in close collaboration with verification and physical design teams to ensure the targeted Power, Performance, and Area (PPA) of the product.
This role is part of the Hardware (HW) team, reporting directly to the HW Manager. You will join a collaborative and innovative team dedicated to delivering cutting-edge AI accelerator solutions and pushing the boundaries of memory and compute integration.