frontier research deep techcadence virtuosomixed signal asicneuromorphicspiking neural networks
Complete evaluation framework
What to assess and how to score it
Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.
01
Evaluation factor
Theoretical command
35% weight
Probe command of spiking neuron models (LIF, Izhikevich), STDP learning rules, and event-driven asynchronous logic; ask how they map dendritic dynamics onto subthreshold analog or digital cores.
Evidence to listen for
Explains the underlying theory at the level the role demands, and can go a layer deeper when pushed
Knows which results are established and which are contested
Distinguishes their own contribution from the field's
Comfortable saying where the theory runs out
Five-point scoring guide
1
Poor
Recites terminology without understanding; cannot go one layer deeper.
2
Needs Improvement
Surface familiarity; conflates established results with speculation.
3
Satisfactory
Solid grasp of the core theory; thin at the frontier.
4
Very Good
Strong command; separates settled results from open questions.
5
Excellent
Derives neuron and synapse dynamics from first principles, and explains why a chosen encoding scheme suits the target sparsity and latency budget.
02
Evaluation factor
From theory to hardware or code
30% weight
Ask for taped-out silicon: process node, crossbar or memristor arrays, Cadence Virtuoso or Innovus flows, DRC and LVS closure, plus post-silicon bring-up on Loihi, SpiNNaker, or custom boards.
Evidence to listen for
Has built, simulated, or run something real, not only published about it
Knows the gap between the idealised model and the actual apparatus or system
Names the practical constraint that dominates in real conditions
Can describe a result that did not match prediction
Five-point scoring guide
1
Poor
Purely theoretical; no contact with implementation.
2
Needs Improvement
Some exposure but unaware of practical constraints.
3
Satisfactory
Has implemented work; understands the main real-world limits.
4
Very Good
Strong practical record; articulate about theory-versus-reality gaps.
5
Excellent
Names specific tapeouts with node, area, energy per synaptic operation, and describes measured silicon results against pre-silicon simulation.
03
Evaluation factor
Research judgement
20% weight
Test how they chose between analog subthreshold efficiency and digital reproducibility, handled device mismatch and variability, and decided when an approach was not worth another mask set.
Evidence to listen for
Chooses problems by tractability and value, not novelty alone
Knows when to abandon a line of work
Reads and evaluates others' results critically
Can say what would falsify their own approach
Five-point scoring guide
1
Poor
Chases novelty; no sense of tractability or when to stop.
2
Needs Improvement
Weak problem selection; persists past the point of value.
3
Satisfactory
Reasonable judgement within a defined programme.
4
Very Good
Selects problems well and knows when to abandon a line.
5
Excellent
Shows deliberate trade-off reasoning on mismatch, yield, and scaling; cites a direction they killed early and the evidence behind it.
04
Evaluation factor
Explaining it to non-specialists
15% weight
Judge how they brief algorithm teams, foundry partners, and program managers who do not read circuit papers; look for evidence of funding proposals or design reviews they led.
Evidence to listen for
Explains the work to an engineer, an executive, or a funder without either mystifying or dumbing it down
Writes clearly
Collaborates across disciplines
Makes the case for resources in terms the audience cares about
Five-point scoring guide
1
Poor
Cannot communicate outside their specialism.
2
Needs Improvement
Explanation is either impenetrable or hollow.
3
Satisfactory
Adequate with technical peers; less effective with lay audiences.
4
Very Good
Explains clearly to specialists and non-specialists alike.
5
Excellent
Explains event-driven advantages in power and latency terms a systems buyer understands, without diluting the underlying device physics.
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