Job Description
Join the forefront of technological revolution at Nexus Quantum Labs as we pioneer the next generation of artificial intelligence through quantum computing. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine machine learning in 2026 and beyond. Our state-of-the-art facility in San Francisco offers unparalleled resources for pushing the boundaries of quantum neural networks and hybrid quantum-classical systems.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Lead research on quantum neural network architectures and optimization techniques
- Collaborate with cross-functional teams to develop quantum-classical hybrid AI systems
- Publish breakthrough research in top-tier scientific journals and conferences
- Secure and manage quantum computing resources on major cloud platforms
- Mentor junior researchers and contribute to our open-source quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning algorithms and neural network architectures
- Proven track record of publishing high-impact research in quantum computing
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Excellent problem-solving skills and ability to work in fast-paced research environments