Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's most complex challenges. As a Research Lead, you'll architect next-gen computational paradigms that will redefine industries from healthcare to climate science. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where breakthroughs are celebrated daily.
We value audacious thinkers who thrive at the intersection of quantum mechanics and machine learning. Your work will directly contribute to our 2026 roadmap: achieving quantum advantage in real-world applications. This is more than a role—it's your chance to shape the future of computation.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for 2026-scale problems
- Lead cross-disciplinary teams of physicists, ML engineers, and domain experts
- Develop error-correction protocols for fault-tolerant quantum systems
- Translate theoretical quantum models into practical industry solutions
- Secure $5M+ in research grants and partnerships
- Publish groundbreaking findings in Nature/Science journals
- Mentor PhD candidates in quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in quantum circuit optimization and error mitigation
- Proven track record of securing federal research grants (NSF/DOE)
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS)
- Proficiency in quantum programming languages (Q#, Cirq, Qiskit)
- Experience with cloud-based quantum computing platforms
- Strong leadership in technical research environments