Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our team is redefining computational boundaries for 2026 and beyond, seeking visionary researchers to architect solutions for climate modeling, drug discovery, and autonomous systems. This role offers unparalleled resources, including access to our 128-qubit quantum processors and GPT-7 training clusters. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the San Francisco Bay.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in prototyping quantum-AI hybrid architectures
- Develop predictive models for complex systems using quantum-entangled neural networks
- Secure $5M+ in research grants through NSF and DARPA proposals
- Publish breakthrough research in Nature/Science journals
- Mentor PhD researchers in quantum computing methodologies
- Partner with industry leaders to commercialize quantum-AI solutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 5+ years research experience
- Published work in quantum supremacy or quantum machine learning
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Expertise in quantum error correction and fault-tolerant systems
- Demonstrated ability to secure federal research funding
- Experience with high-performance computing clusters (>10,000 cores)
- Deep understanding of quantum decoherence mitigation techniques
- Strong track record of translating theory to practical applications