ID: PME-1
Description

Seynamics is building a new generation of high-performance computing products for AI based on RISC-V. The company designs custom, scalable silicon for compute-intensive applications, where software, architecture, modelling, and hardware validation meet. The work sits close to the product's technical foundations. Engineers are exposed to real architectural trade-offs, performance limits, and silicon-facing decisions earlier and more directly than in most roles. This is demanding engineering work with a direct path into the silicon that will run the next generation of HPC/AI computing.

The Performance Modelling Engineer contributes directly to the work that shapes Seynamics' products. The role carries responsibility for its assigned scope, the technical decisions made within that scope, and the quality of the results delivered. The engineer works in a multidisciplinary team where hardware, software, and AI specialists work

side by side. Decisions are expected to follow the strongest technical argument, supported by collaboration, direct feedback, and shared credit.



Seynamics typically looks for around 2-5 years of relevant experience for this level. This range is a guide rather than a strict cutoff: what matters most is the depth of skill demonstrated in the

technical interview. At this level, the engineer is responsible for the performance analysis and modelling of individual

components from start to finish, from instrumenting simulators to signing off on the results. The role

involves limited day-to-day supervision: choosing the approach for a component, validating the

result, and raising issues early with a proposed path forward. This is where the technical foundation

is built: simulator instrumentation, workload analysis, cycle-accurate modelling, and the ability to

connect software behaviour with hardware events.

Why Seynamics?
- Work at one of Europe’s most promising deep-tech semiconductor start up - from silicon to systems - Sey

📌 Performance Modelling Engineer (Barcelona)
🏢 Semidynamics
📍 Barcelona