Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI fusion systems. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough innovation in quantum machine learning.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI applications
- Lead cross-functional teams in prototyping quantum-classical hybrid computing solutions
- Develop error-correction protocols for quantum-AI integration pipelines
- Publish peer-reviewed research in top-tier journals and conferences
- Collaborate with industry partners to commercialize quantum-AI frameworks
- Mentor junior researchers in emerging quantum programming paradigms
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (2020-2026)
- 3+ years experience with quantum circuit design using Qiskit or Cirq
- Expertise in machine learning frameworks (PyTorch/TensorFlow) with quantum extensions
- Published research in quantum machine learning or quantum algorithms
- Proficiency in high-performance computing environments
- Demonstrated ability to translate theoretical concepts into scalable implementations