Job Description
Join the forefront of technological revolution at Nexus Quantum Labs as we pioneer the next era of computing. We're seeking a visionary Quantum AI Research Engineer to architect breakthrough systems that will redefine industries by 2026. Our cutting-edge facility in San Francisco's tech epicenter offers unparalleled resources to explore the convergence of quantum mechanics and artificial intelligence. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to drug discovery—in ways previously deemed impossible. This is your chance to shape the technological landscape of tomorrow.
We offer competitive equity packages, flexible work arrangements, and a culture that celebrates intellectual curiosity. Our benefits include unlimited learning stipends, on-site wellness centers, and relocation assistance for exceptional candidates worldwide. If you're driven by the ambition to build what's next, apply now to join our elite team.
Responsibilities
- Design and implement quantum algorithms for AI optimization and machine learning acceleration
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead research initiatives in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish groundbreaking research in top-tier journals and present at premier conferences
- Mentor junior researchers and drive cross-functional innovation across quantum and AI teams
- Secure external funding through NSF grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (Master's with exceptional experience)
- Expertise in quantum algorithms, quantum error correction, and quantum information theory
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and AI frameworks (TensorFlow, PyTorch)
- Published research in quantum machine learning or quantum AI (top-tier conferences/journals)
- Strong mathematical foundation in linear algebra, probability, and complex analysis
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ) or simulators
- Track record of translating theoretical concepts into practical implementations