Staff Inference Engineer (Multimodality/LLMs)

Staff Inference Engineer (Multimodal & LLMs) Frontier AI Lab | $1B+ Raised Remote | €200-300k cash + equity

We’re partnering with a frontier AI company building large-scale multimodal and language models used at real, global scale. Backed by over $1bn in funding, this is a rare chance to work deep in the inference stack where performance genuinely matters.

This role is for someone who has proven experience living at the intersection of research-grade LLMs and large-scale systems engineering.

What you’ll do Push the limits of LLM inference quality, latency, and cost Turn cutting-edge research ideas into production-ready systems Own inference metrics and performance in real deployments Write fast, elegant code close to the metal (and know why it’s fast) Collaborate tightly with researchers and infra engineers to shape what ships next

What they’re looking for Deep understanding of transformers and modern LLM inference Strong instincts for distributed systems and low-precision computation Obsession with performance: kernels, memory, matmuls, and hardware bottlenecks Comfort working across Python and lower-level stacks (C/C++, CUDA, Triton, etc.) Someone opinionated, pragmatic, and happy to challenge “best practice” when it slows things down Research exposure is a plus, but shipping impact matters more

Why this role Work on models and systems that define the state of the art Huge scope, serious autonomy, and real technical depth Elite peers who care about correctness and speed Compensation and equity to match top-tier frontier labs