Engineering Simulation Specialist - PhD

Obsidian; Berlin; Vor Ort; EUR 90.000 - 160.000; Vollzeit

Zusammenfassung

Obsidian is seeking experts to advance frontier engineering-reasoning evaluations in collaboration with a leading AI research lab. You will design simulations and specifications, guiding models to produce artifacts that meet precise criteria.

The role requires strong domain knowledge in control systems or related fields, Python simulations expertise, and a knack for rigorous, measurable thresholds within a browser-based workflow.

Qualifikationen

• PhD or equivalent industry track record.
• Proficient in writing simulations in Python.
• Able to define quantifiable pass/fail criteria.
• Comfortable using a browser-based studio and GitHub.

Aufgaben

• Write simulations and specifications; model designs that satisfy all specs.
• Define simulation setup, thresholds, and prompt; run evaluations against models.
• Observe and judge the model designs without shortcuts, ensuring rigor.

Kenntnisse

Control systems

Analog/RF circuits

Power electronics

Mechanical design

Python simulations

Test thresholds

Rigorous problem design

GitHub

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.