Job Description
Shape the future at Nexus Quantum Dynamics, where we're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. We seek visionary Quantum AI Research Scientists to join our elite team in San Francisco, working at the forefront of 2026's technological revolution. You'll develop groundbreaking algorithms, simulate quantum systems, and create AI models that push beyond classical computing limits. Our state-of-the-art lab offers unparalleled resources for experimentation, and our collaborative environment fosters innovation that impacts global industries. This is your opportunity to leave a legacy in the next technological paradigm shift.
Responsibilities
- Design and implement quantum machine learning algorithms for next-generation AI systems
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead cutting-edge research in quantum neural networks and quantum-inspired optimization
- Collaborate with cross-functional teams to integrate quantum solutions into production AI pipelines
- Publish breakthrough research in top-tier journals and present at global conferences
- Secure and manage quantum computing resources on industry-leading platforms
- Mentor junior researchers and drive innovation in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and quantum AI integration
- Strong publication record in quantum computing or AI research
- Proficiency in Python, C++, and high-performance computing environments
- Deep understanding of quantum algorithms, error correction, and hardware limitations
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations