Scientist, Computing & Intelligence, IAIC

Job Summary

We are seeking a highly motivated Quantum-HPC Software Systems Research Scientist to develop next-generation Hybrid Quantum-Classical Computing (HQCC) infrastructure.

This role is deliberately positioned at the intersection of classical high-performance computing and quantum computing. The successful candidate should be able to work across both classical HPC systems — including parallel programming, GPU acceleration, distributed runtime, scheduling, profiling and optimisation — and quantum software stacks, including quantum SDKs, simulators, compilers, hardware interfaces and hybrid quantum-classical workflows.

The role focuses on building the software systems layer that connects quantum processors, quantum simulators, and classical supercomputing resources into a unified hybrid computing environment. This includes low-level middleware, hybrid APIs, compiler/runtime integration, resource management, GPU-accelerated quantum simulation, benchmarking, and workflow optimization.

The candidate will help ensure that quantum resources are not treated as isolated devices, but are integrated into high-performance classical computing environments in a way that is usable, scalable, portable and performance-aware.

Candidate Profile

The ideal candidate is not expected to be a pure quantum theorist or a conventional HPC system administrator. We are looking for a systems-oriented researcher or engineer who can bridge classical HPC and quantum computing.

A strong candidate may come from one of two backgrounds:

• An HPC / systems / GPU computing background, with demonstrated interest and experience in quantum software or simulation; or
• A quantum software / quantum computing background, with strong programming ability and willingness to work deeply with classical HPC systems, GPU acceleration, profiling and runtime optimization.

In both cases, the candidate should be motivated to build practical hybrid quantum-classical infrastructure rather than only develop standalone algorithms.

Technical Skills

• Programming Mastery: Professional-grade experience in Rust, C/C++, and Python.
• HPC & GPU Acceleration: Deep understanding of parallel computing toolchains, specifically NVIDIA CUDA-Qand/or AMD ROCm.
• Software Ecosystems: Hands-on experience with quantum SDKs (e.g., Qibo, Qiskit, PennyLane) or hardware interaction frameworks (e.g., Qibolab) is highly desirable.
• Systems Architecture: Familiarity with LLVM-level compilation, Linux system scheduling, or FPGA firmware development.