Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into groundbreaking applications. If you're passionate about solving humanity's most complex challenges through quantum machine learning, this is your opportunity to shape the future.
Responsibilities
- Design and implement quantum machine learning models for optimization problems
- Develop hybrid quantum-classical algorithms for real-world applications
- Collaborate with cross-functional teams to integrate quantum solutions into AI frameworks
- Conduct cutting-edge research in quantum neural networks and quantum data processing
- Publish findings in peer-reviewed journals and present at international conferences
- Lead prototype development and performance benchmarking of quantum-AI systems
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
- Strong mathematical foundations in linear algebra, probability, and information theory
- Proficiency in Python and high-performance computing environments
- Published research in quantum computing or quantum machine learning
- Demonstrated ability to translate complex theoretical concepts into practical implementations