Training & Education Access:
Careers materials highlight personal development plans, a management development programme, education/training allowances, and access to learning platforms—strong signals of institutional support for learning. Early‑career programs also provide structured training from day one.
Challenging Assignments:
Work spans silicon, systems, compilers, and ML frameworks with meaningful projects from day one, offering exposure to cutting‑edge AI hardware/software stacks. This breadth accelerates skills for those comfortable with a fast‑moving environment.
Cross-Functional Experience:
Full‑stack exposure to IPUs, systems, and the Poplar software layer enables learning across hardware, compilers, and ML workflows. Post‑acquisition expansion and new programs can further increase opportunities to collaborate across functions.
