Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary researchers to develop next-gen algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where groundbreaking ideas flourish. This role offers equity, flexible schedules, and the opportunity to shape humanity's digital future.
Responsibilities
- Design and implement quantum neural network architectures for real-world applications
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Develop error-correction protocols for quantum machine learning models
- Collaborate with hardware teams to optimize quantum algorithm performance
- Publish research in top-tier journals and present at international conferences
- Secure government and private funding for quantum AI initiatives
- Mentor junior researchers and foster innovation through hackathons
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development
- Expertise in Python, Qiskit, and quantum circuit optimization
- Strong background in machine learning frameworks (TensorFlow/PyTorch)
- Published work in quantum computing or AI research
- Experience with D-Wave or IBM quantum systems
- Ability to translate complex theoretical concepts into practical applications
- Proven track record of securing research grants