Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026. We're seeking visionary researchers to develop next-generation computational paradigms that will redefine human-machine collaboration. Our interdisciplinary team operates at the intersection of quantum mechanics, artificial intelligence, and theoretical physics in a state-of-the-art facility overlooking the San Francisco Bay.
As a Quantum AI Research Scientist, you'll contribute to breakthrough projects including quantum neural networks, error-corrected AI systems, and consciousness-level machine intelligence. We offer unparalleled resources: access to IBM Quantum systems, NVIDIA's latest GPU clusters, and a $50M research budget. Our culture combines academic rigor with startup agility, where your ideas could shape humanity's technological trajectory.
Responsibilities
- Lead research initiatives in quantum machine learning algorithms for 2026-era applications
- Design and implement hybrid quantum-classical computing architectures
- Develop novel error-correction protocols for fault-tolerant quantum AI systems
- Collaborate with MIT and Caltech on quantum neural network optimization
- Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
- Secure $2M+ in NSF/DARPA grants for quantum-AI integration projects
- Mentor PhD candidates in quantum information science through our partnership with Stanford
Qualifications
- PhD in Quantum Computing, AI, or Theoretical Physics with 5+ years research experience
- Published peer-reviewed papers on quantum machine learning or quantum algorithms
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Demonstrated expertise in quantum error correction and fault tolerance
- Experience with superconducting qubit systems or trapped-ion quantum processors
- Track record of securing federal research grants (NSF/DARPA preferred)
- Deep understanding of quantum entanglement's implications for AGI development