Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Lead to architect the next generation of intelligent systems. This role offers unparalleled opportunity to shape human-machine collaboration in a cutting-edge environment where theoretical physics meets practical artificial intelligence.
Our multidisciplinary team operates at the intersection of quantum computing, neural networks, and predictive analytics. You'll drive breakthrough research while mentoring a cohort of exceptional scientists in our state-of-the-art San Francisco laboratory. This position includes competitive equity, flexible work arrangements, and participation in our exclusive 'Future Think Tank' initiative.
Responsibilities
- Lead quantum machine learning research initiatives targeting 2026 technological inflection points
- Architect hybrid quantum-classical neural network architectures for real-world applications
- Develop predictive models for complex system behavior using quantum-enhanced algorithms
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Secure external funding through NSF and DARPA grant applications
- Mentor PhD-level researchers and publish in top-tier journals
- Shape 5-year technology roadmap for quantum AI adoption
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years of experience in quantum algorithm development
- Published research in quantum machine learning or quantum neural networks
- Proficiency in Qiskit, Cirq, or similar quantum computing frameworks
- Expertise in tensor networks and quantum simulation techniques
- Track record of securing competitive research grants
- Deep understanding of quantum error correction and fault tolerance
- Experience mentoring research scientists in high-impact environments