Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our interdisciplinary team is building revolutionary computational frameworks that will redefine industries by 2026. This role offers unparalleled opportunities to shape the future of machine learning, cryptography, and computational physics.
We're seeking visionary researchers who thrive at the intersection of quantum mechanics, artificial intelligence, and advanced mathematics. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility, equipped with cutting-edge quantum processors and AI supercomputing clusters.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization problems
- Develop hybrid quantum-classical machine learning frameworks
- Lead research initiatives in quantum-resistant cryptography systems
- Collaborate with hardware teams to co-design quantum processors
- Publish groundbreaking research in top-tier scientific journals
- Mentor junior researchers and cross-functional engineering teams
- Secure competitive research grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or PennyLane)
- Deep expertise in machine learning frameworks (PyTorch, TensorFlow)
- Publication record in quantum computing or AI journals
- Strong background in linear algebra, probability theory, and information theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)