Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art San Francisco lab offers unmatched resources to transform theoretical breakthroughs into real-world applications in cryptography, drug discovery, and climate modeling.
Responsibilities
- Design and implement quantum machine learning algorithms for large-scale data processing
- Develop hybrid quantum-classical neural networks for enhanced computational efficiency
- Lead prototyping of quantum-resistant encryption protocols for enterprise clients
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Publish research in peer-reviewed journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and low-level quantum circuit design
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with quantum hardware interfaces (IBM Quantum, Rigetti, or IonQ)