Job Description
We are seeking a visionary AI & Quantum Systems Architect to lead the development of next-generation hybrid computing solutions. At Nexus Horizon Labs, we are engineering the infrastructure that will define the technological landscape of 2026 and beyond. This is a rare opportunity to bridge the gap between classical artificial intelligence and emerging quantum mechanics, building systems that are exponentially faster and more intelligent.
In this pivotal role, you will design scalable architectures that leverage quantum processors for optimization problems, machine learning training, and real-time data processing. You will work alongside world-class physicists and software engineers to transform theoretical research into production-ready systems that solve complex global challenges.
Why Join Us?
- Work on cutting-edge technology with a competitive compensation package.
- Flexible remote-first culture with access to premium tech equipment.
- Opportunity for stock options in a high-growth startup.
Responsibilities
- Design and architect hybrid quantum-classical algorithms for complex optimization problems.
- Develop high-performance software stacks using Python, Qiskit, and C++ to interface with quantum hardware.
- Lead the integration of Large Language Models (LLMs) with quantum annealing processes.
- Collaborate with research teams to identify high-impact use cases for quantum advantage.
- Ensure system scalability, security, and fault tolerance in distributed quantum environments.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
Qualifications
- Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related field.
- 5+ years of experience in software architecture, specifically with distributed systems and cloud infrastructure (AWS/Azure/GCP).
- Strong proficiency in Python, TensorFlow, PyTorch, and quantum computing frameworks (Qiskit, Cirq, or PennyLane).
- Experience with cloud-native technologies and containerization (Docker, Kubernetes).
- Deep understanding of linear algebra, probability theory, and optimization techniques.
- Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.