Engineering Simulation Specialist - PhD

Mercor; Mumbai; On-site; INR 250,000 - 450,000; Full time

Job summary

Mercor seeks a domain expert to advance frontier engineering-reasoning evaluation workflows. You will write simulations and specifications that drive model designs—gains, parameters, geometry—ensuring they meet all constraints.

You will define simulations, specs with clear thresholds, and prompts; the model tests against these, and an agentic grader scores success in your own tasks.

Qualifications

• PhD or equivalent track record in the relevant field.
• Experience writing simulations in Python.
• Ability to define specifications with quantitative, testable thresholds.
• Ability to design a problem you can’t shortcut, but judge rigorously.

Responsibilities

• Write simulations and specification sheets for the model.
• Define the simulation, specs with pass/fail thresholds, and the prompt.
• The model probes your simulation and an agentic grader scores spec satisfaction.

Skills

Control systems

Analog circuits

RF circuits

Power electronics

Mechanical design

Python

Education

PhD or equivalent experience

Tools

GitHub

Job description

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.