Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that leverage quantum supremacy to accelerate machine learning, optimize logistics, and revolutionize drug discovery. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture obsessed with exponential innovation.
What You'll Achieve:
- Develop quantum neural networks that outperform classical systems
- Collaborate with Nobel laureates and Turing Award winners
- Publish in Nature/Science and shape industry standards
- Mentor the next generation of quantum pioneers
Benefits include equity, flexible schedules, and unlimited access to our quantum computing cluster.
Responsibilities
- Design and implement hybrid quantum-classical machine learning architectures
- Optimize quantum algorithms for real-world enterprise applications
- Lead cross-functional teams in quantum-AI integration projects
- Secure $5M+ in research grants and partnerships
- Author patents and peer-reviewed publications
- Mentor junior researchers in quantum computational theory
- Validate quantum solutions against classical benchmarks
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in Qiskit, Cirq, or similar quantum frameworks
- Published research in quantum-AI convergence (Nature/Science preferred)
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit optimization
- Experience with superconducting or photonic quantum systems
- Demonstrated ability to secure government/industry research funding