Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI fusion systems that will redefine 2026's digital landscape. We seek visionary researchers to develop next-generation algorithms merging quantum computing with machine learning for breakthrough applications in cryptography, autonomous systems, and computational biology. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your work will directly shape humanity's technological trajectory.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop novel quantum algorithms for optimization and pattern recognition challenges
- Lead cross-functional teams in prototyping quantum-AI integration solutions
- Publish breakthrough research in top-tier journals and industry conferences
- Collaborate with hardware engineers to optimize quantum system performance
- Secure and manage high-value research partnerships with academic institutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in advanced neural architectures and deep learning optimization
- Proven track record of publishing in quantum-AI intersection research
- Strong Python proficiency with quantum simulation libraries
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to secure research funding through competitive grants