Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that redefine computational boundaries in our state-of-the-art San Francisco laboratory. Collaborate with Nobel laureates and industry disruptors to develop quantum neural networks, optimize machine learning models at the atomic level, and publish groundbreaking research in Nature and Science journals. This isn't just a job—it's your chance to shape the future of human knowledge.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in prototyping quantum-optimized AI solutions
- Develop novel quantum error correction techniques for neural network stability
- Author peer-reviewed publications and present findings at international conferences
- Secure $5M+ in research grants from NSF and DARPA
- Mentor PhD candidates in quantum computing methodologies
- Partner with industry leaders to commercialize quantum AI breakthroughs
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 5+ years experience with quantum programming languages (Q#, Qiskit)
- Published research in top-tier AI/quantum journals
- Expertise in tensor networks and quantum circuit optimization
- Proficiency with high-performance computing environments (HPC, GPU clusters)
- Strong track record of securing federal research grants
- Deep understanding of quantum decoherence mitigation strategies
- Experience mentoring postdoctoral researchers