Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution! We're seeking visionary researchers to develop next-generation algorithms that merge quantum computing with artificial intelligence. You'll pioneer breakthroughs in computational complexity, neural networks, and machine learning optimization while collaborating with Nobel laureates and industry pioneers. This role offers unparalleled resources, flexible work arrangements, and equity in a pre-IPO unicorn shaping the next decade of technology.
Responsibilities
- Design quantum neural networks for real-world optimization problems
- Develop novel AI algorithms leveraging quantum entanglement properties
- Lead cross-functional teams in prototyping 2026's first quantum-AI hybrid systems
- Publish peer-reviewed research in top-tier journals and conferences
- Secure $5M+ in federal research grants for quantum-AI initiatives
- Mentor PhD candidates in quantum machine learning methodologies
- Collaborate with NASA and DARPA on classified next-gen computing projects
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 3+ years experience with quantum programming (Qiskit, Cirq) and deep learning frameworks
- Published research in Nature/Science or equivalent tier journals
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency in Python, TensorFlow Quantum, and high-performance computing
- Experience securing federal research grants (NSF, NIH)
- Security clearance eligibility for government collaborations