Job Description
Join Nexus Technologies at the forefront of 2026's quantum-AI revolution. We're seeking visionary researchers to pioneer next-generation computational paradigms that will redefine industries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical models into groundbreaking applications. Collaborate with Nobel laureates and industry disruptors while shaping the technological landscape of tomorrow.
Responsibilities
- Develop hybrid quantum-neural network architectures for exponential computational scaling
- Lead cross-functional teams in prototyping 2026's autonomous AI systems
- Design error-corrected quantum algorithms for real-world industrial applications
- Publish breakthrough research in top-tier journals and conferences
- Secure $10M+ in government/industry grants for quantum-AI initiatives
- Mentor PhD candidates in emerging computational paradigms
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (2020-2025)
- Expertise in quantum machine learning frameworks (PennyLane, Qiskit)
- Published research in Nature/Science on quantum algorithms
- Proficiency in Python/C++ with quantum simulation libraries
- Experience with AWS Braket or Azure Quantum platforms
- Demonstrated ability to secure federal research grants