Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum-AI hybrid systems for 2026's digital frontier. We seek a visionary researcher to develop next-gen computational models that will redefine industries. You'll collaborate with Nobel laureates in our state-of-the-art facility, leveraging $50M in R&D funding to solve humanity's grandest challenges.
This role offers unparalleled opportunities to publish in Nature and transform theoretical breakthroughs into commercial applications. Our culture combines Silicon Valley agility with Cambridge academic rigor, offering competitive equity packages and unlimited learning budgets.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era computing paradigms
- Lead cross-continental research teams in developing error-corrected quantum processors
- Author white papers on quantum-AI symbiosis for peer-reviewed journals
- Prototype commercial applications in drug discovery and climate modeling
- Secure $5M+ in government grants for quantum-AI infrastructure
- Mentor PhD candidates in quantum machine learning methodologies
- Present findings at Davos and World Economic Forum summits
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or AI from top-tier institution
- 3+ years published research in Nature/Science on quantum algorithms
- Expertise in Qiskit, Cirq, and quantum error correction frameworks
- Proficiency in tensor networks and quantum circuit optimization
- Track record of securing NSF or DARPA grants
- Deep understanding of quantum decoherence mitigation techniques
- Experience with hybrid quantum-classical ML frameworks
- Fluency in Python/C++ with parallel computing expertise