Software Engineer - Simulator Team
Aliro Technologies
Software Engineering
New York, USA · Boston, MA, USA · Remote
Posted on May 30, 2026
Aliro is a growing startup that builds software to simulate, operate, and orchestrate real-world entanglement-based networks. Aliro’s software actively supports the development of quantum networks at aerospace companies, national labs, universities, telecommunications providers, and banks. Aliro is hiring a remote or hybrid (Boston area) software engineer who is excited to innovate at the cutting edge of quantum information science and technology. At Aliro, you will work alongside quantum physicists and product leads to provide professional contracting services to Aliro’s customers, and to develop Aliro Simulator, the simulation platform for the quantum internet. Responsibilities: - Build software tools for quantum network simulation, emulation, and optimization. - Develop the Aliro Simulator product including, UIs, workflows, APIs, docs/demos, and algorithms. - Maintain a scalable simulation platform that accurately models quantum networks at low cost. Qualifications: - Bachelor's degree in science, technology, engineering, or math. - 5+ years of industry experience in software engineering. - Excellent communication and collaboration skills in remote and virtual settings. - Ability to work across domains and translate product requirements into production-ready software. - US citizenship or permanent resident status with ability to work in eastern standard time. Preferred Background: - Experience with web development including Typescript, React, Python, and FastAPI or Django. - Experience with package management (uv), containerization (Docker), and CI/CD (Github actions). - Experience delivering fullstack applications on a cloud platform (GCP preferred). - Experience building applications using Kubernetes and Helm. - Experience designing intuitive user interfaces, scalable REST APIs, and expressive data schemas. - Experience with high-performance computing, GPU computing, or performance optimization. - Experience with gRPC and Proto, and API design for networked and distributed systems. - Familiarity with scientific computing technologies in Python with numpy, scipy, pandas, etc. - Familiarity with cloud computing infrastructure and technologies like Terraform/OpenTofu. - Familiarity with pipelines and frameworks for scalable data processing, analysis, and visualization. - Familiarity with multi-agent modeling and discrete event simulation frameworks such as simpy. - Familiarity with quantum computing or networking architectures, protocols, and algorithms. - Familiarity with quantum software packages such as Qiskit, Cirq, SeQUeNCe, PennyLane, etc.
