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Harmonic — Research Engineer

job-description · source →

Retrieved, not guessed: 3 competency clusters, 9 concept/tool nodes grounded in real sources (9 Wikipedia/GitHub definitions), and 6 skills from the ESCO taxonomy — off-domain hits filtered out. Every node carries a real definition; edges are real relationships where an open KG had them.

13 concepts · 12 links9 skills · 2 proven
Source:
Harmonic — Research EngineerProduction SWESoftware engineeringAPIDistributed computingModern AI stackLarge language modelRetrieval-augmented generationMachine learningPrompt engineeringTechnical leadership & playbooksEngineering managementLanguage

Extracted tools

Production SWEskill✅ provenv1

Ship production backend/services in Python (and a second language).

not good at: greenfield research with no delivery pressure

no field trials yet — verdict held until outcomes are logged

Modern AI stackskill✅ provenv1

Prompt, evaluate, and deploy LLMs at scale.

not good at: classical ML / heavy feature engineering

no field trials yet — verdict held until outcomes are logged

Technical leadership & playbooksskill⚠ unprovenv1

Represent at the highest level; sequence delivery; codify playbooks.

not good at: deep IC-only crunch with no stakeholder surface

no field trials yet — verdict held until outcomes are logged

utilise computer-aided software engineering toolsskill⚠ unprovenv1

A defined competence in the ESCO taxonomy.

not good at: a taxonomy label until proven by a work sample

no field trials yet — verdict held until outcomes are logged

precision engineeringskill⚠ unprovenv1

A defined competence in the ESCO taxonomy.

not good at: a taxonomy label until proven by a work sample

no field trials yet — verdict held until outcomes are logged

CAE softwareskill⚠ unprovenv1

A defined competence in the ESCO taxonomy.

not good at: a taxonomy label until proven by a work sample

no field trials yet — verdict held until outcomes are logged

data miningskill⚠ unprovenv1

A defined competence in the ESCO taxonomy.

not good at: a taxonomy label until proven by a work sample

no field trials yet — verdict held until outcomes are logged

utilise machine learningskill⚠ unprovenv1

A defined competence in the ESCO taxonomy.

not good at: a taxonomy label until proven by a work sample

no field trials yet — verdict held until outcomes are logged

principles of artificial intelligenceskill⚠ unprovenv1

A defined competence in the ESCO taxonomy.

not good at: a taxonomy label until proven by a work sample

no field trials yet — verdict held until outcomes are logged