Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of innovation. We're seeking a visionary Quantum AI Research Lead to architect breakthrough solutions that will redefine industries by 2026. This pivotal role combines quantum computing expertise with artificial intelligence strategy to solve humanity's most complex challenges. You'll lead a multidisciplinary team of world-class researchers while collaborating with Fortune 500 partners to commercialize cutting-edge technologies.
Our San Francisco headquarters features state-of-the-art quantum labs, AI supercomputing clusters, and an innovation incubator where your ideas can transform into reality. We offer competitive equity packages, unlimited learning stipends, and the autonomy to shape the future of technology. If you're ready to accelerate humanity's progress toward quantum advantage, this is your calling.
Responsibilities
- Design and implement quantum AI algorithms leveraging NISQ-era hardware capabilities
- Lead cross-functional research teams in developing hybrid quantum-classical machine learning models
- Collaborate with industry partners to identify high-impact commercialization opportunities
- Develop patentable frameworks for quantum advantage in drug discovery and materials science
- Present breakthrough findings at premier conferences and publish in top-tier journals
- Oversee $5M+ research budget and strategic technology roadmaps
- Mentor PhD researchers and foster next-generation quantum talent
- Drive ethical AI governance protocols for quantum deployments
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 8+ years of research experience
- Proven track record publishing in Nature/Science journals or equivalent quantum computing venues
- Expertise in quantum machine learning algorithms and error mitigation techniques
- Hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in AI/ML with demonstrated impact on complex real-world problems
- Experience leading multidisciplinary research teams and managing R&D budgets
- Deep understanding of quantum hardware limitations and near-term applications
- Exceptional communication skills translating complex concepts to executive audiences