Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking visionary research scientists to develop revolutionary algorithms that will redefine computing paradigms by 2026. Our state-of-the-art facility in San Francisco's Tech District offers unparalleled resources for collaborative innovation in quantum machine learning, cryptography, and computational optimization.
What You'll Achieve:
You'll lead breakthrough research in quantum neural networks, contribute to our patent portfolio for quantum-resistant encryption, and publish findings in top-tier journals. This role offers competitive equity packages and direct access to our 128-qubit quantum processors.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop novel error-correction techniques for scalable quantum computing systems
- Collaborate with cross-functional teams to prototype quantum-AI hybrid solutions
- Lead research initiatives in quantum cryptography and secure communication protocols
- Author peer-reviewed publications and present findings at international conferences
- Mentor junior researchers and contribute to technical roadmap planning
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum algorithms or quantum machine learning
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum entanglement and decoherence principles
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra and quantum information theory
- Ability to translate complex theoretical concepts into practical implementations