Job Description
Shape the future of artificial intelligence at Nexus Quantum Labs, where we're pioneering quantum-entangled neural networks for 2026 and beyond. Join our elite team of researchers developing next-generation AI systems that transcend classical computing limitations. Located in San Francisco's innovation district, we offer unparalleled resources and a culture of radical collaboration.
We seek a visionary researcher to lead breakthrough projects in quantum machine learning, quantum-resistant cryptography, and hybrid quantum-classical algorithms. You'll work with state-of-the-art quantum hardware and collaborate with Nobel laureates, industry pioneers, and government agencies.
Our compensation package includes equity, comprehensive benefits, and dedicated R&D funding. This is your opportunity to solve humanity's most complex problems while advancing the frontiers of computational science.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization and pattern recognition
- Lead cross-functional projects combining quantum computing with deep learning frameworks
- Develop quantum-resistant cryptographic protocols for next-gen security systems
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum-neural interfaces
- Secure government and industry partnerships for real-world quantum deployments
- Mentor junior researchers and drive quantum education initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Proven expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum information science or AI
- Experience with quantum simulators and cloud quantum platforms
- Demonstrated ability to secure research funding and lead high-impact projects
- Security clearance eligibility preferred for government collaborations