Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary researchers to architect the computational paradigms that will define 2026 and beyond. In our state-of-the-art San Francisco lab, you'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks that solve previously intractable problems in drug discovery, climate modeling, and autonomous systems.
Our team operates at the intersection of physics, computer science, and cognitive engineering, pushing the boundaries of what's computationally possible. We offer competitive equity packages, unlimited research budgets, and access to quantum hardware through our industry partnerships. If you're driven to solve humanity's grand challenges through revolutionary technology, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural network architectures
- Lead experimental validation of quantum AI protocols on real quantum processors
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Author breakthrough research for premier journals and conferences
- Secure external funding through NSF and DARPA grants
- Mentor next-generation quantum researchers
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years postdoc experience
- Published research in Nature/Science or equivalent tier journals
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Demonstrated experience with quantum error correction techniques
- Strong background in computational complexity theory
- Track record of translating theoretical models into practical implementations