RF Circuit Design Expert - PhD

mercor; Deutschland; Remote; EUR 86,000 - 104,000; Full time

Job summary

Mercor is seeking a Computational Electrical Engineering & RF/Circuit Design Expert on a contract basis to craft challenging problems that evaluate AI capabilities in science tasks. This role is remote and requires deep knowledge of RF/circuit design and scientific software.

You will work with Python, scikit-rf, ngspice, and Linux in sandboxed environments, designing and testing problems, refining data for model training, and collaborating with research teams to meet deadlines.

Qualifications

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
• Proven proficiency with scientific software libraries like scikit-rf or ngspice.
• Strong Python skills for writing problem setups and solution validators.
• Ability to work in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week.

Responsibilities

• Design challenging computational problems to evaluate AI capabilities in solving scientific tasks.
• Develop problems requiring the use of specialized scientific software like scikit-rf and ngspice.
• Test and refine problems against state-of-the‑art AI models to achieve target difficulty.
• Collaborate with research teams to improve AI model performance and training data quality.
• Work independently and asynchronously to meet deadlines and refine problem designs.

Skills

Python

scikit-rf

ngspice

Linux

Remote compute

Education

MS or PhD in STEM

Tools

scikit-rf

ngspice

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position details

Position: Computational Electrical Engineering & RF/Circuit Design Expert

Type: Contract

Compensation: $70–$85/hour

Location: Remote

Commitment: 15–20 hours/week

Role Responsibilities

• Design challenging computational problems to evaluate AI capabilities in solving scientific tasks.
• Develop problems requiring the use of specialized scientific software like scikit-rf and ngspice .
• Test and refine problems against state-of-the‑art AI models to achieve target difficulty.
• Collaborate with research teams to improve AI model performance and training data quality.
• Work independently and asynchronously to meet deadlines and refine problem designs.

Qualifications Must-Have

• Graduate‑level training in a relevant STEM field ( MS , PhD , or equivalent research experience).
• Proven proficiency with scientific software libraries like scikit-rf or ngspice .
• Strong Python skills for writing problem setups and solution validators.
• Ability to work in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week .

Preferred

• Experience across multiple listed domains or tools.
• Familiarity with benchmark or evaluation design.
• Background in scientific teaching or exam/problem‑set design.
• Experience with computational reproducibility and containerized environments.