Evaluate Holographic Display Engineer candidates across 4 weighted areas: theoretical command, from theory to hardware or code, research judgement, and explaining it to non-specialists. Theoretical command leads at 35%, so probe scalar diffraction and Fourier optics fluency: Fresnel versus Fraunhofer propagation, phase-only versus complex modulation, etendue limits, speckle statistics, and why eyebox. Use the rubric to compare role-specific evidence consistently.
frontier research deep techar waveguidescomputer generated holographyfourier opticsslm lcos
TL;DR
For theoretical command, look for evidence the candidate derives diffraction and space bandwidth limits from first principles, and links each to real eyebox, resolution, and depth-of-field numbers. For from theory to hardware or code, look for evidence the candidate names shipped hardware and code: measured PSNR or speckle contrast, frame rates achieved, and the SLM part numbers and calibration routines used.
Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
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 scalar diffraction and Fourier optics fluency: Fresnel versus Fraunhofer propagation, phase-only versus complex modulation, etendue limits, speckle statistics, and why eyebox and field of view trade against SLM pixel pitch.
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 diffraction and space bandwidth limits from first principles, and links each to real eyebox, resolution, and depth-of-field numbers.
02
Evaluation factor
From theory to hardware or code
30% weight
Ask what they built: CGH pipelines (Gerchberg-Saxton, stochastic gradient, neural holography) on CUDA, LCoS or MEMS SLM drive electronics, laser or SLED illumination, and bench-to-prototype integration.
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 shipped hardware and code: measured PSNR or speckle contrast, frame rates achieved, and the SLM part numbers and calibration routines used.
03
Evaluation factor
Research judgement
20% weight
Test how they chose between phase-only, amplitude, and time-multiplexed approaches when specs conflicted, and how they decided a research direction was a dead end versus worth another quarter.
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
Recounts a killed approach with the measurement that killed it, plus the pivot that produced a demonstrable improvement in image quality or power.
04
Evaluation factor
Explaining it to non-specialists
15% weight
Judge how they brief optics-naive product, industrial design, and supply chain partners on why holographic depth cues, laser safety class, or aberration correction constrain the industrial design.
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
Translates wavefront and speckle problems into product-level consequences, using demo videos or simple analogies executives repeat back correctly.
Evidence-led prompts
Interview questions for a Holographic Display Engineer
Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.
01
Can you describe your experience with light field or volumetric displays?
02
Can you explain any work on reducing the size of these display systems?
03
What challenges have you faced on these projects?
04
Can you describe your experience with optical engineering in this context?
05
What experience do you have with real-time three-dimensional rendering?
