Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that will redefine computational boundaries. You'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges. This role offers unparalleled growth opportunities in the world's most disruptive tech frontier.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for real-world applications
- Develop novel quantum algorithms to accelerate AI training processes by 10x
- Lead experimental validation of quantum AI systems on superconducting quantum processors
- Collaborate with hardware teams to co-design quantum-optimized neural architectures
- Publish breakthrough research in top-tier journals and present at global tech conferences
- Secure $5M+ in research grants from DARPA and NSF initiatives
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science from Tier-1 institution
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published peer-reviewed papers in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum error correction techniques
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum decoherence mitigation strategies
- Track record of translating theoretical concepts into experimental prototypes