Engineering Simulation Specialist - PhD

Mercor; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Mercor is seeking a domain expert to drive engineering-reasoning evaluations by writing simulations and specifications that guide AI model design. The role focuses on artifacts that satisfy complex requirements across control, electronics, or mechanical domains.

You will define prompts, thresholds, and evaluation criteria, and oversee model runs with an agentic grader to assess spec satisfaction. Collaboration in a browser-based studio and GitHub is expected.

Qualifikationen

• Deep applied expertise in control systems, analog or RF circuits, power electronics, or mechanical design — PhD or equivalent industry track record.
• Comfortable writing simulations in Python and expressing acceptance criteria as quantitative, testable thresholds.
• Able to design a problem you can't shortcut yourself, but can still judge rigorously.
• Comfortable working in a browser-based studio and GitHub.

Aufgaben

• Write simulations and specification sheets; model designs that satisfy specs.
• Define the simulation, a set of specs with pass/fail thresholds, and the prompt. The model probes your simulation with a limited number of calls, then submits a final design.
• An agentic grader runs the simulation and scores spec satisfaction.

Kenntnisse

Control systems

Analog/RF circuits

Power electronics

Mechanical design

Ausbildung

PhD or equivalent

Tools

Python

GitHub

Jobbeschreibung

About the role

A frontier engineering-reasoning evaluation run in collaboration with a leading AI research lab. The work measures whether state-of-the‑art models can reason from first principles in your engineering domain rather than retrieve facts from training data — and you get visibility into the model's internal reasoning on your own tasks.

What you'll do

Domain experts write simulations and specification sheets; the model attempts to design an artifact — controller gains, circuit parameters, geometry — that satisfies every spec.

You define the simulation, a set of specs with pass/fail thresholds, and the prompt. The model probes your simulation with a limited number of calls, then submits a final design. An agentic grader runs the simulation and scores spec satisfaction.

Who we're looking for

• Deep applied expertise in control systems, analog or RF circuits, power electronics, or mechanical design — PhD or equivalent industry track record.
• Comfortable writing simulations in Python and expressing acceptance criteria as quantitative, testable thresholds.
• Able to design a problem you can't shortcut yourself, but can still judge rigorously.
• Comfortable working in a browser-based studio and GitHub.

Support

Onboarding calls run daily, alongside internal tooling built to help you work faster. Prior model-evaluation experience is not required.