Job Description
Shape the future at Nexus Innovations Inc., where we're pioneering the 2026 quantum-AI frontier. Join our elite research team in San Francisco to develop groundbreaking quantum neural networks that will revolutionize machine learning. You'll work in our state-of-the-art lab alongside Nobel laureates and tech visionaries, tackling challenges that were once considered science fiction. We offer competitive equity packages, flexible research timelines, and access to the world's most advanced quantum computing infrastructure. If you're passionate about solving humanity's grandest problems through quantum-AI convergence, this is your calling.
Responsibilities
- Design and implement quantum-enhanced neural architectures for next-generation AI systems
- Lead cross-functional teams in developing quantum machine learning algorithms
- Conduct cutting-edge research in quantum-AI convergence for real-world applications
- Collaborate with hardware engineers to optimize quantum-AI hybrid systems
- Publish findings in top-tier journals and present at international conferences
- Secure federal and private research grants for quantum-AI initiatives
- Mentor PhD candidates and junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
- Expertise in quantum algorithms, quantum error correction, and quantum machine learning
- Proficiency in quantum programming languages (Q#, Qiskit) and classical AI frameworks
- Published research in Nature/Science or equivalent tier quantum-AI publications
- Strong background in tensor networks and quantum information theory
- Demonstrated experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)
- Exceptional problem-solving skills for complex quantum-AI integration challenges