Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next era of quantum-AI convergence. We're seeking visionary Research Scientists to architect breakthrough solutions that will redefine 2026's digital landscape. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into revolutionary applications.
As a key member of our elite Future Technologies Division, you'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks and hybrid AI systems. We offer competitive equity packages, flexible work arrangements, and dedicated innovation time to accelerate your impact on humanity's technological trajectory.
Responsibilities
- Design and implement quantum algorithms for next-gen AI optimization
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Author peer-reviewed research for top-tier publications and industry whitepapers
- Prototype and validate quantum machine learning models on proprietary hardware
- Collaborate with ethics committees to ensure responsible AI deployment
- Present breakthrough findings at global tech conferences and symposiums
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years experience with quantum computing frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Strong track record of securing research grants or industry partnerships
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate complex concepts into actionable engineering solutions