Job Description
Shape the technological frontier at Nexus Quantum Solutions as we pioneer the next wave of quantum-AI integration for 2026. Join our elite research team to develop transformative quantum algorithms that will redefine industries. We offer unmatched resources, collaborative lab environments, and the opportunity to work alongside Nobel laureates in our state-of-the-art facility overlooking the Bay Area skyline.
Our ideal candidate thrives at the intersection of theoretical physics and machine learning, pushing boundaries where quantum mechanics meets artificial intelligence. This role includes competitive equity packages, flexible work arrangements, and comprehensive wellness benefits designed for innovators.
Responsibilities
- Lead development of hybrid quantum-classical machine learning models for enterprise applications
- Design and implement quantum error correction protocols for scalable computing architectures
- Collaborate with hardware teams to optimize quantum circuit performance on next-gen processors
- Publish breakthrough research in top-tier journals and present at premier global conferences
- Mentor junior researchers and drive cross-functional innovation with AI/ML teams
- Secure patents and intellectual property for novel quantum algorithmic approaches
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science with 5+ years research experience
- Proven expertise in quantum machine learning frameworks (e.g., Qiskit, Cirq, PennyLane)
- Publication record in Nature/Science or equivalent high-impact journals
- Deep understanding of quantum annealing, superconducting qubits, and topological quantum computing
- Strong programming proficiency in Python, C++, and quantum assembly languages
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)