Research Engineer, GPU Performance
Mistral AI · Paris
Frontier labonsite
At a glance
Highlights
- Own end-to-end performance of frontier models in training and serving.
- Rethink generative architectures for efficient inference at scale.
- Squeeze performance from large-scale runs on thousands of GPUs.
What they offer
- healthcare coverage
- parental leave
- retirement plans
- relocation support
- wellness programs
- meal and transportation allowances
Ideal candidate
A low-ego, collaborative self-starter obsessed with squeezing every ounce of performance from hardware to make frontier models train and serve faster.
Requirements
- High technical competence for writing custom low-level kernels and pushing GPUs to their limits
- High expertise in the distributed computation infrastructure of current-generation GPU clusters
- Overall understanding of generative AI, with knowledge of or interest in fine-tuning and using language models
- Strong software-design instincts including testing, code review and CI/CD
- Self-starter, low-ego, collaborative
Lab profile
About Mistral AI
Provides full-stack AI solutions from frontier models to tools, applications, and compute.
What they build
- Frontier AI models
- Developer tools
- AI applications
Known for
- Full-stack AI development
- Enterprise co-creation and deployment
- Customizable systems that run on customer terms
- Focus on finance, manufacturing, defense, healthcare and public sector
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