Job Description
Join Nexus Labs at the frontier of innovation as we pioneer quantum-AI hybrid systems for 2026. We're seeking a visionary researcher to develop next-generation algorithms that will redefine computational boundaries. This role sits at the intersection of quantum mechanics, machine learning, and applied mathematics, requiring candidates who thrive on solving unsolvable problems.
You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, working on projects that will power breakthroughs in drug discovery, climate modeling, and autonomous systems. We offer unparalleled resources, including access to quantum hardware prototypes and a $50M research budget.
Responsibilities
- Design and implement quantum-AI algorithms for 2026-era computational challenges
- Lead cross-disciplinary research teams in quantum machine learning optimization
- Develop novel error-correction techniques for quantum neural networks
- Author breakthrough publications in top-tier journals (Nature, Science, etc.)
- Secure $2M+ in research grants through NSF and DARPA proposals
- Mentor postdoctoral researchers in quantum-computing methodologies
- Collaborate with hardware teams to co-design quantum processors
Qualifications
- PhD in Quantum Computing, Machine Learning, or Theoretical Physics
- 5+ years of hands-on quantum algorithm development experience
- Published research in quantum machine learning or quantum supremacy
- Expertise in Python, Qiskit, and quantum circuit optimization
- Deep understanding of quantum error correction and fault tolerance
- Track record of securing federal research grants
- Experience with high-performance computing clusters
- Patent portfolio in quantum technologies preferred