Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Engineers to pioneer next-gen computational paradigms that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research in quantum machine learning and neural-quantum hybrid systems. Collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges while shaping the future of artificial intelligence.
Benefits include equity packages, flexible R&D budgets, and exclusive access to quantum computing infrastructure. This role requires deep technical expertise and a passion for pushing beyond current technological boundaries.
Responsibilities
- Design and implement quantum neural network architectures for advanced AI applications
- Develop hybrid quantum-classical algorithms for optimization and machine learning
- Lead experimental validation of quantum computing protocols on 100+ qubit systems
- Collaborate with cross-functional teams to integrate quantum solutions into commercial products
- Publish research in top-tier journals and present at international conferences
- Mentor junior researchers in quantum computing methodologies
- Secure patents for novel quantum-AI integration techniques
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of publishing in quantum computing or AI research
- Strong programming skills in Python, C++, and quantum assembly languages
- Experience with superconducting quantum processors or photonic systems
- Deep understanding of quantum error correction and fault tolerance
- Ability to translate complex quantum concepts into practical engineering solutions