Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will reshape industries by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources for exploration, including access to 128-qubit quantum processors and petascale AI supercomputers. Collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.
As part of our elite research division, you'll contribute to projects spanning quantum machine learning, error correction optimization, and neuromorphic quantum interfaces. We offer competitive equity packages, unlimited R&D budgets, and a culture where your breakthrough ideas become reality. This role requires deep technical expertise combined with bold, innovative thinking.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational paradigms
- Lead research initiatives in quantum error correction and fault-tolerant architectures
- Develop hybrid quantum-classical neural networks achieving exponential speedups
- Publish breakthrough findings in top-tier journals (Nature, Science, etc.)
- Collaborate with hardware teams to co-design next-gen quantum processors
- Secure multi-million dollar research grants from government and private entities
- Mentor postdoctoral researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years experience with quantum circuit design and QIS frameworks
- Expertise in Python/C++ with quantum libraries (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Deep understanding of quantum decoherence and topological qubits
- Experience securing NSF/DoE grants or industry funding
- Proven ability to lead cross-disciplinary research teams