LLM Infra Engineer
Ricursive Intelligence10 months ago
Palo Alto, CA, USASenior
Responsibilities
- Develop and improve core infrastructure for LLM training and inference.
- Solve scaling and low-level optimization challenges.
- Contribute to systems connecting AI development with chip design and hardware acceleration.
Requirements
- Best-in-class engineering ability.
- Experience or capability relevant to scaling, low-level optimization, and LLM training and inference infrastructure is implied by the role focus.
Benefits
- Work at a frontier AI lab building self-improving systems.
- Collaborate with experienced researchers and engineers from leading technology companies and universities.
- Join a fast-paced, growing team where each hire can shape the work.
Categories
About Ricursive Intelligence
Ricursive Intelligence builds AI systems that co-optimize machine learning models and the chips that run them, starting with AI-driven chip design tools for semiconductor and AI hardware teams. Its business focuses on software and research that closes the loop between model performance and silicon layout to accelerate development cycles. Privately held and founded in 2025, it operates at the intersection of AI infrastructure and semiconductor design.