Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a key member of our elite research team, you'll develop next-gen algorithms that leverage quantum entanglement for real-world applications across cryptography, climate modeling, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum computing clusters and AI supercomputers. This role requires deep expertise in quantum mechanics and machine learning, with opportunities to publish breakthrough research and shape the future of human-machine collaboration.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead research on quantum neural networks and hybrid quantum-classical systems
- Collaborate with cross-functional teams to integrate quantum solutions into commercial products
- Develop security protocols for quantum-resistant encryption standards
- Author peer-reviewed publications and present findings at international conferences
- Mentor junior researchers and contribute to quantum-AI curriculum development
- Secure funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency in Python, Qiskit, and TensorFlow Quantum
- Published research in Nature/Science or top-tier conference proceedings
- Strong background in quantum error correction and fault tolerance
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to translate theoretical concepts into scalable implementations