Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop revolutionary algorithms that will redefine computational capabilities by 2026. Our interdisciplinary team operates at the intersection of quantum physics, machine learning, and high-performance computing in a state-of-the-art facility overlooking the San Francisco Bay.
This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and influence the trajectory of global technological advancement. We provide comprehensive benefits including equity, flexible schedules, and dedicated innovation time.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and simulation tasks
- Lead cross-functional research initiatives in quantum neural networks and quantum-enhanced AI
- Develop prototype systems on quantum computing platforms (IBM Quantum, Rigetti)
- Collaborate with hardware teams to co-design quantum-AI hybrid architectures
- Publish peer-reviewed research in top-tier journals and conferences
- Secure patents for novel quantum AI methodologies
- Mentor junior researchers and PhD candidates
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithms or quantum machine learning
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Publication record in quantum computing or AI conferences (QIP, NeurIPS)
- Experience with high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical implementations