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Vertical Compute in Grenoble, France, is seeking a Hardware Architect and Team Lead to define and deliver next-generation 3D-integrated chiplet products for AI compute. You will own architecture, RTL, verification, DFT, and physical implementation while building and guiding the hardware team to tape-out-ready silicon.
You will collaborate with the memory design group and external partners to maximize bandwidth, performance, and energy efficiency, shaping the hardware foundation for scalable AI
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.
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 Hardware Architect and Team Lead with strong hardware architecture expertise to lead the definition, architecture, and execution of our next-generation 3D-integrated chiplet products.
In this role, you will be responsible for architecting and specifying chiplet products developed by Vertical Compute integrated in 3D, ensuring they leverage our proprietary Vertical Integrated Memory (VIM™) technology to address complex AI computation challenges, collaborating closely with the memory design team and the SW Team in charge of the AI application and AI compiler development.
You will own the complete end-to-end hardware engineering lifecycle from architecture definition and specification up to final silicon tape-out and bring-up (architecture, front-end RTL development, verification, DFT, physical implementation, and silicon bring-up), building and leading the internal hardware team. You will coordinate with external design service companies, Research partners and Program Management Office to ensure the smooth running of the project.
This role leads the Hardware Design team within Vertical Compute's Product & System organization, partnering closely with our cross-functional engineering teams in Memory Design, Packaging, and System Architecture. We foster a highly collaborative, transparent, and inclusive environment where strong technical alignment and continuous innovation are central to solving the industry's memory bottleneck.
Grenoble (France)
QUANTUM ROLE CONTEXT | Appended by Quantum.Jobs v2
Role context:
This role exists to bridge high-level system requirements with physical silicon implementation in advanced semiconductor development. Situated between executive engineering management and specialized design units, the hardware architecture lead defines product specifications and oversees chip development lifecycles. By coordinating internal engineering teams and external foundry services, professionals in this functional position ensure complex microarchitectural designs transition effectively from initial logic specifications to verified physical silicon, supporting organizational efforts to solve critical compute and memory bottlenecks.
Quantum ecosystem relevance:
While primarily focused on classical high-performance semiconductor architectures, this role type indirectly supports the broader quantum ecosystem through enabling infrastructure. Advanced packaging, high-density memory integration, and 3D chiplet architectures serve as critical foundational technologies for hybrid classical-quantum computing stacks. Hardware engineering leadership in semiconductor integration provides the scalable classical processing, low-latency interconnects, and high-bandwidth memory controllers necessary to interface with, control, and process readout data from emerging quantum processing units.