AI Scientist: Engineering LLMs for CAE/EDA

Mistral; Paris; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal and transportation allowances

Other location-specific perks

Job summary

Mistral is seeking AI Scientists with deep ML expertise to expand what our agentic tools can do across the engineering lifecycle—CAE and EDA. You will develop the pre- and post-training data for Mistral's LLMs to reason about and execute engineering tasks, shaping verifiers and the agent scaffolding from the ground up.

Collaborate with CAE/EDA domain experts and the broader research team to ground your work in how engineers operate and to translate findings into robust training signals and

Qualifications

• Fluent English with excellent communication skills, able to explain ML and engineering concepts to broad audiences.
• Deep, hands-on machine learning expertise, particularly LLM development.
• Demonstrated experience running, debugging, and validating real engineering workflows in CAD/CAE/EDA domains.
• Proficient in Python coding and Linux/HPC environments.
• Self-directed and able to progress without detailed roadmaps.
• Collaborative, low-ego mindset and eagerness to learn at the intersection of engineering and ML.

Responsibilities

• Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA.
• Define verifiers and evaluation criteria to capture what is correct and high-quality for each task.
• Design and improve agent architectures and harnesses for multi-step engineering workflows.
• Build evaluation benchmarks and tooling to diagnose model failures and data gaps.
• Collaborate with CAE/EDA domain experts to target high-value workflows next.
• Contribute to Mistral's broader pre and post-training research with findings.

Skills

Fluent English

Deep ML expertise

LLM development

Python

Linux/HPC

Self-directed

Low-ego

Tools

SolidWorks

CATIA

Fluent English

Abaqus

STAR-CCM+

Cadence/Synopsys/Siemens EDA tools

Job description

Mistral is seeking AI Scientists with deep ML expertise to expand what our agentic tools can do across the engineering lifecycle—CAE and EDA. You will develop the pre- and post-training data for Mistral's LLMs to reason about and execute engineering tasks, shaping verifiers and the agent scaffolding from the ground up.

Collaborate with CAE/EDA domain experts and the broader research team to ground your work in how engineers operate and to translate findings into robust training signals and