Job Description
Join Nexus Quantum Labs at the forefront of 2026 technological evolution. We're pioneering quantum AI systems that will redefine computing paradigms. As a 2026 Quantum AI Research Scientist, you'll collaborate with Nobel laureates and disrupt industries through groundbreaking research in quantum machine learning and algorithmic optimization.
Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum annealers, photonic processors, and dedicated AI supercomputing clusters. This role represents the intersection of quantum physics, artificial intelligence, and next-generation computing – where today's science fiction becomes tomorrow's reality.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical AI frameworks for 2026-era systems
- Lead cross-functional research teams in quantum cryptography and error correction
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with industry partners to translate theoretical models into practical solutions
- Mentor junior researchers in emerging quantum computing methodologies
- Secure federal and private research grants for advanced quantum AI initiatives
Qualifications
- PhD in Quantum Computing, AI, or related computational field
- 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
- Deep expertise in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum algorithms
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Proven ability to secure competitive research funding
- Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
- Demonstrated innovation in bridging theoretical and applied quantum research