Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 and beyond. We seek visionary researchers to develop next-generation quantum neural networks that will redefine computational boundaries. This role offers unparalleled resources to transform theoretical breakthroughs into real-world applications, with competitive compensation and equity in a fast-scaling deep-tech startup.
Responsibilities
- Design and implement quantum neural architectures for 2026-era computational challenges
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Develop predictive models for quantum computing scalability and error correction
- Collaborate with MIT and Stanford on quantum-AI fusion research initiatives
- Secure $5M+ in government/industry grants for quantum-AI applications
- Author whitepapers on quantum machine learning paradigms for 2026
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- Published research in Nature/Science on quantum machine learning
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Experience with D-Wave or IBM quantum processors
- Track record of securing federal grants (NSF/DOE/DARPA)
- Deep understanding of quantum supremacy thresholds for 2026
- Expertise in error mitigation techniques for NISQ-era systems