Hiring: Quantum Python Developer (Tensor Networks / HPC / Simulation) Remote · Full-time · $10k/month We’re building cutting-edge quantum simulation workflows that push the limits of large-scale computation. Our focus is on tensor network methods (MPS, PEPS, contraction path optimizations). We need a developer who: - Lives and breathes Python + scientific computing (NumPy, PyTorch, JAX, etc.) - Has deep understanding of tensor networks, especially contraction strategies and optimization of circuit evaluation - Is comfortable with HPC, GPU acceleration, slicing strategies, and memory-efficient simulation - Thinks in terms of Hilbert space, entanglement, and circuit depth/treewidth - Can design algorithms where every contraction is not just math, but a step toward scaling exponential problems What you’ll do: - Build and optimize contraction engines for tensor networks - Push circuit simulation from “slow classical bottlenecks” into high-performance quantum-inspired computation - Experiment with new heuristics, slicing schemes, and hybrid approaches (classical + quantum) - Collaborate with a small team tackling some of the hardest math problems in simulation What we offer: - Fully remote work, flexible hours - Long-term collaboration (monthly budget ~ $10k) - Opportunity to work on problems at the edge of quantum computing research