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Stealth Startup - AI Engineering

Co-Founder, CAE Expert - Chief Scientific Officer (CSO)

London
Posted 1 day ago
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Technical Co-Founder, CAE Expert - Chief Scientific Officer (CSO)

We are looking to connect with an exceptional Europe-based Co-Founder CAE expert for our early-stage B2B AI engineering software venture. The project sits at the intersection of engineering intelligence, CAE, simulation data, applied AI, and enterprise knowledge systems.

The immediate priority is highly hands-on: you will help shape the physics and engineering logic behind the product, define real-world use cases, work with technical teams on data structures and workflows, and support early customer/design-partner discussions.

Profile

We are looking for someone with strong experience across several of the following areas:

  • CAE and simulation: extensive practical experience within CAE in advanced industries; CFD, FEA, thermal analysis, structural analysis, aerodynamics.
  • Engineering workflows: deep understanding of how engineering teams create, validate, store, review, and reuse simulation, test, and design data across projects.
  • Scientific data modelling: ability to translate complex engineering outputs into structured concepts, metadata, relationships, assumptions, decisions, and reusable knowledge.
  • Technical formats and tools: familiarity with CAE, CAD, PLM, test data, reports, calculation sheets, solver files, logs, or other technical engineering artefacts.
  • Product use cases: ability to define valuable user journeys, acceptance criteria, demo scenarios, and real engineering questions the platform should answer.
  • Domain credibility: ability to speak credibly with CAE managers, simulation engineers, technical directors, and engineering consultancies.
  • Applied AI understanding: basic familiarity with AI, ML, LLMs, to work closely with the CTO and translate engineering needs into product requirements.
  • Customer discovery: comfortable speaking with early partners, extracting pain points, validating workflows, and helping define pilot success criteria.
  • Zero-to-one execution: willing to operate hands-on in a very early-stage environment, where the role includes strategy, product, technical definition, customer work, and scientific validation.
  • Scientific leadership: owning the engineering/scientific roadmap, setting quality standards, and helping build a strong technical and domain team over time.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Experience in motorsport, automotive, aerospace, energy, advanced manufacturing, engineering consulting, CAE software, or simulation-heavy industrial environments is highly valuable.

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Skills

CAE
Simulation
CFD
FEA
Thermal Analysis
Structural Analysis
Aerodynamics
Engineering Workflows
Scientific Data Modelling
Technical Formats
Product Use Cases
Applied AI
Customer Discovery
Zero-to-One Execution
Scientific Leadership

Location

London, England, United Kingdom

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