Senior Software Engineer, Quantum Applied Research

Role responsibilities

Design and build scalable data platforms, orchestration layers, and synthetic data pipelines to support quantum computing system modeling. Collaborate across research and engineering teams to integrate AI models and simulation environments for accelerated computing.

Requirements

Requires a degree in Computer Science, Physics, or Engineering with over 10 years of experience in production-grade software and distributed systems. Proficiency in Python, C++, or Go and a working knowledge of quantum computing concepts are essential.

Key skills

Quantum Computing, Distributed Systems, Data Engineering, Python, C++, Go, API Design, Synthetic Data Generation, Agentic Orchestration, CI/CD, GPU Acceleration, CUDA, High Performance Computing, System Modeling, Scalable Data Architectures, Observability

Keywords

Quantum Computing, Distributed Systems, Data Platforms, AI Models, Synthetic Data, Agentic Systems, Python, C++, Go, APIs, CI/CD, Observability, GPU Acceleration, CUDA, High Performance Computing, Simulation, Co-design, Software Engineering, Data Pipelines, Physics, Accelerated Computing, System Abstractions, Real-time Modeling, Low-latency Workloads