Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 and beyond. We're seeking visionary researchers to decode quantum algorithms that will redefine machine learning paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world solutions. What you'll achieve:
- Develop quantum neural networks capable of solving previously unsolvable optimization problems
- Collaborate with Nobel laureates on quantum error correction protocols
- Lead cross-disciplinary teams to implement quantum-AI hybrid systems
- Shape the ethical framework for next-generation autonomous systems
Why Nexus Labs: We provide competitive equity packages, unlimited R&D budgets, and direct access to quantum computing hardware. Our culture celebrates intellectual audacity and rewards paradigm-shifting innovation.
Responsibilities
- Design and implement quantum machine learning algorithms for enterprise-scale applications
- Lead research in quantum neural network optimization and scalability
- Collaborate with hardware teams to develop quantum-AI co-design frameworks
- Publish groundbreaking research in Nature/Science journals
- Mentor PhD candidates and junior researchers in quantum computing methodologies
- Develop patentable quantum-AI integration architectures
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
- Proven expertise in quantum algorithms and quantum circuit design
- Publication record in top-tier AI/quantum research venues
- Mastery of Python, Qiskit, and quantum simulation frameworks
- Demonstrated experience with high-performance computing clusters
- Deep understanding of quantum decoherence mitigation strategies
- Strong background in tensor networks and quantum machine learning