Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this pivotal role, you'll design next-gen quantum algorithms, develop hybrid quantum-classical ML models, and contribute to breakthroughs in drug discovery, climate modeling, and cryptography.
Our state-of-the-art San Francisco campus features quantum labs, AI supercomputers, and collaborative workspaces designed for innovation. We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Shape the future with us.
Responsibilities
- Develop novel quantum algorithms for machine learning optimization
- Design and implement hybrid quantum-classical AI frameworks
- Lead research in quantum neural networks and quantum-enhanced data analysis
- Collaborate with hardware teams to optimize quantum software stacks
- Publish findings in top-tier journals and present at global conferences
- Mentor junior researchers and drive cross-functional innovation projects
- Secure research grants through government and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum algorithms or quantum AI
- Experience with quantum error correction techniques
- Proficiency in Python, C++, and high-performance computing
- Strong analytical problem-solving and collaborative communication skills