Discover which hardware choices improve personal intelligence. You will connect real workloads to memory systems, accelerators and the software that uses them.
Not open yet: Research program
This work starts when that stage arrives, so there is no application to submit today and we will not pretend otherwise. What is written below is what the role is for and what would make somebody right for it, published early on purpose so you can decide whether it is worth watching.
The work
Profile representative inference, retrieval, training and agent workloads. Model compute, bandwidth, capacity and energy limits. Compare existing components before proposing specialized hardware, and partner with compiler and silicon teams on interfaces that can be evaluated early.
The milestone
In your first 90 days, deliver a reproducible workload characterization and a quantified architecture recommendation with sensitivity analysis.
Evidence
Bring computer architecture expertise and an ability to move between measurements, simulators and application behavior. Evidence may include research, silicon, systems prototypes or major performance work.
Evidence, not credentials. We are describing work you can point at, in whatever form it exists.
The exercise
Explain when additional accelerator arithmetic throughput would fail to improve a memory-bound household workload.