Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms and lead experiments that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to 512-qubit quantum processors and petascale AI clusters. We foster a culture of radical innovation where your ideas can transform industries from healthcare to climate modeling.
What You'll Achieve:
- Develop novel quantum machine learning models for real-world applications
- Collaborate with Nobel laureates and Turing Award winners
- Lead open-source projects with global impact
- Shape ethical frameworks for next-gen AI systems
Responsibilities
- Design and implement quantum algorithms leveraging superposition and entanglement
- Optimize neural networks for hybrid quantum-classical computing architectures
- Lead cross-functional teams in prototyping quantum AI applications
- Publish groundbreaking research in top-tier journals and conferences
- Secure federal grants and industry partnerships for quantum initiatives
- Mentor PhD candidates in quantum machine learning
- Develop patentable innovations in quantum error correction
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming (Q#, Qiskit, Cirq)
- Expertise in tensor networks and quantum circuit optimization
- Publication record in Nature/Science or equivalent venues
- Proficiency in Python, TensorFlow, and high-performance computing
- Experience with quantum hardware (IBM Q, Rigetti, IonQ)
- Demonstrated ability to secure research funding ($1M+ preferred)
- Strong background in quantum information theory