Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026's quantum-AI convergence. We seek a visionary Research Scientist to architect next-generation neural networks that harness quantum entanglement for real-time cognitive computing. This role sits at the intersection of theoretical physics and applied machine learning, requiring expertise in qubit manipulation and post-classical algorithms.
You'll collaborate with Nobel laureates and MIT fellows in our Austin Innovation Hub, where we're developing the substrate for humanity's first quantum consciousness interface. Your work will directly influence how 10+ billion IoT devices interact through decentralized quantum networks by 2026.
Responsibilities
- Design fault-tolerant quantum neural networks for 2026-scale data processing
- Develop hybrid AI-QC algorithms achieving quantum advantage in real-world applications
- Lead experimental validation of quantum coherence in biological systems
- Architect decentralized quantum communication protocols for edge computing
- Author breakthrough papers for Nature Quantum and IEEE Transactions
- Mentor PhD candidates in quantum machine learning methodologies
- Secure $5M+ in DARPA/NSF grants for 2026 quantum initiatives
Qualifications
- PhD in Quantum Computing or Theoretical Physics (or equivalent research)
- 3+ years experience with quantum machine learning frameworks (Qiskit, Cirq)
- Published research in top-tier journals (Nature/Science/QIC)
- Expertise in quantum error correction and topological qubit design
- Proficiency in Python/C++ with quantum simulation libraries
- Demonstrated ability to translate theoretical models into scalable prototypes
- Security clearance for DoD quantum research initiatives
- Experience with cryogenic quantum systems (D-Wave/IBM Q)