Infrastructure Engineer at Causal Labs

The Infrastructure Engineer will build high-throughput inference systems for large-scale evaluation, backtesting, and scoring against historical physical observations. The role focuses on improving latency, throughput, and efficiency; optimizing hardware utilization; extending orchestration frameworks such as Kubernetes, Ray, and Slurm; establishing reliability, observability, and reproducibility standards; and collaborating with researchers on novel architectures. Candidates should have experience with inference and serving systems, distributed compute, GPU parallelism, hardware-aware optimization, and deep learning frameworks such as PyTorch or JAX.