Job Description
Join Nexus Quantum Dynamics at the forefront of technological revolution as we architect the future of AI-quantum integration. As a Quantum AI Systems Architect, you'll design hybrid systems that merge quantum computing with advanced machine learning to solve humanity's most complex challenges. This role demands visionary thinking and hands-on expertise in bleeding-edge technologies that will define 2026 and beyond.
We offer competitive equity packages, flexible remote work options, and access to our state-of-the-art quantum research lab. Your work will directly impact breakthroughs in computational drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design and implement hybrid quantum-AI computing architectures for enterprise-scale applications
- Lead cross-functional teams in developing quantum-optimized machine learning pipelines
- Develop error-correction protocols for quantum neural networks
- Create predictive models for quantum hardware scalability and performance optimization
- Collaborate with research institutions to publish breakthrough findings in quantum-AI convergence
- Establish security frameworks for quantum-resistant AI systems
- Mentor junior engineers in next-gen quantum programming paradigms
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (MS with exceptional experience considered)
- 5+ years experience in quantum algorithm development and quantum circuit design
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in distributed AI systems and high-performance computing architectures
- Published research in quantum machine learning or quantum information theory
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in Python, C++, and quantum assembly languages
- Deep understanding of quantum error correction and fault-tolerant computing