Job Description
Join Nexus Future Technologies at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-gen computational paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
What You'll Achieve:
- Design quantum algorithms that exponentially accelerate machine learning processes
- Lead cross-functional teams in developing fault-tolerant quantum computing architectures
- Secure patents for groundbreaking quantum-AI hybrid systems
- Present findings at premier conferences like IEEE Quantum Week
Responsibilities
- Architect quantum neural networks for real-time pattern recognition
- Optimize qubit coherence times using advanced error correction protocols
- Develop proprietary quantum simulators for climate modeling and drug discovery
- Collaborate with AI teams to train models on quantum-entangled datasets
- Secure $5M+ in government and private research grants
- Mentor PhD candidates in quantum machine learning
- Publish 3+ high-impact papers annually in Nature Physics
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or equivalent
- 3+ years hands-on experience with superconducting qubits or ion traps
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum circuit optimization
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Experience securing SBIR/STTR grants
- Track record of translating theory to commercial prototypes