Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026 and beyond. We're seeking visionary research scientists to develop next-generation algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into revolutionary applications. Collaborate with Nobel laureates and industry disruptors in an environment where curiosity fuels innovation.
Responsibilities
- Design and implement quantum machine learning frameworks for 2026-era applications
- Lead cross-functional teams in prototyping hybrid quantum-classical systems
- Develop novel algorithms leveraging quantum supremacy for real-world problems
- Secure $5M+ in research grants through compelling technical proposals
- Author peer-reviewed publications in top-tier journals and conferences
- mentor postdoctoral researchers in emerging quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python/C++ with quantum computing frameworks (Qiskit, Cirq)
- Publication record in Nature/Science or equivalent venues
- Deep understanding of quantum error correction and fault tolerance
- Proven ability to translate theoretical concepts into scalable implementations