Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI fusion systems. Our cross-disciplinary team is developing next-generation computing paradigms that will redefine industries from healthcare to logistics. This role offers unparalleled opportunity to shape the future of human-machine collaboration in our state-of-the-art San Francisco quantum lab.
We're seeking visionary researchers to accelerate our breakthrough in fault-tolerant quantum neural networks. You'll work alongside Nobel laureates and industry pioneers in an environment that values intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for AI optimization
- Lead experimental validation of quantum machine learning models on our 500-qubit processors
- Collaborate with hardware teams to co-design quantum neural network architectures
- Publish breakthrough research in top-tier journals and conferences
- Develop patent-pending quantum encryption protocols for secure AI communication
- Mentor junior researchers in quantum-computing fundamentals
- Secure $1M+ in annual research funding through grant proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Strong background in linear algebra, probability theory, and information theory
- Proven ability to translate complex theoretical concepts into practical implementations