Architect low-latency distributed token generation pipelines, disaggregated KV-cache engines, and high-throughput Rust control planes for Claude frontier models.
Remote Rust AI Infrastructure & LLM Inference Jobs
Browse verified high-paying remote Rust engineering jobs in LLM inference, vLLM/TensorRT backends, CUDA/ROCm kernels, vector databases, and AI infrastructure.
Scale distributed LLM inference engines written in Rust. Optimize PagedAttention, KV-cache fragmentation, and low-latency speculative decoding.
Lead open-source development on Text Generation Inference (TGI), Candle, Safetensors, and SIMD Rust tokenizers used across the AI ecosystem.
Build sub-second cold-start GPU container runtimes, content-addressable FUSE filesystems, and distributed cluster schedulers in 100% Rust.
Push the hardware limits of billion-scale vector similarity search using AVX-512/NEON SIMD quantization, asymmetric binary indices, and io_uring disk traversal.
Design columnar storage formats (Lance) in Rust built on Apache Arrow and DataFusion for petabyte-scale LLM training datasets and vector search.
Work on the Polars streaming execution engine in Rust: morsel-driven parallelism, vectorized hash joins, and distributed shuffle across cloud workers.
Build low-overhead Rust proxy dataplanes, WebSocket/gRPC bi-directional streaming routers, and cold-start weight streamers for multi-cloud GPU clusters.
Build bare-metal Rust node agents, InfiniBand/RoCEv2 telemetry daemons, and automated GPU health verification across 32,000+ H100/B200 clusters.
Build fast developer and AI environment tooling in Rust (uv, Ruff, ty) with custom zero-copy archive extraction and lock-free dependency resolution.
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