Job Description
Join Quantum Horizon Labs, a visionary company pioneering the next generation of computational intelligence. As we race toward the 2026 era of super-intelligent systems, we are looking for a Senior Quantum AI Architect to lead our research into hybrid quantum-classical neural networks. This is a rare opportunity to define the architectural foundation of future AI infrastructures.
We offer a competitive compensation package, equity options, and the chance to work with world-class engineers and researchers. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and quantum computing, we want to hear from you.
Responsibilities
- Architect Design: Design and oversee the implementation of scalable quantum neural network architectures for large-scale data processing.
- Algorithm Development: Develop novel quantum algorithms that solve complex optimization problems and enhance machine learning accuracy.
- Hybrid Integration: Bridge the gap between classical cloud computing and emerging quantum processors to create seamless hybrid workflows.
- System Optimization: Optimize model inference latency and resource allocation on quantum hardware to ensure high-performance computing standards.
- Technical Leadership: Mentor a team of junior data scientists and engineers, conducting code reviews and architectural walkthroughs.
- Research & Prototyping: Stay at the forefront of industry trends, experiment with cutting-edge tools like Qiskit and Cirq, and prototype viable solutions.
- Collaboration: Partner with hardware engineering teams to align software capabilities with physical quantum chip constraints.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years specifically focused on quantum computing or advanced simulation.
- Programming: Strong proficiency in Python, C++, and TensorFlow or PyTorch. Experience with quantum SDKs such as Qiskit, Cirq, or Amazon Braket is highly preferred.
- Theoretical Knowledge: Deep understanding of linear algebra, probability theory, and quantum mechanics fundamentals.
- Soft Skills: Excellent problem-solving abilities and the capacity to communicate complex technical concepts to non-technical stakeholders.
- Leadership: Proven track record of leading technical projects from conception to deployment.