Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll design next-gen algorithms, push the boundaries of quantum machine learning, and collaborate with Nobel laureates in our state-of-the-art San Francisco lab. This isn't just a role—it's your chance to shape the future of computational intelligence.
Responsibilities
- Develop novel quantum neural network architectures for 2026-scale data processing
- Lead cross-functional teams in prototyping quantum-optimized AI solutions
- Publish breakthrough research in top-tier journals/conferences
- Secure $1M+ in research grants from DARPA and NSF
- Mentor PhD candidates in quantum machine learning
- Translate theoretical models into deployable quantum computing frameworks
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit/Cirq)
- Expertise in tensor networks and quantum error correction
- Published work in Nature/Science quantum computing special issues
- Proficiency in Python, TensorFlow, and high-performance computing
- Deep understanding of 2026-era quantum hardware constraints
- Track record of securing competitive research funding