Job Description
Join Nexus Quantum Technologies at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration for next-generation computational solutions. As a key member of our elite research team, you'll collaborate with Nobel laureates and disrupt industry paradigms. Our state-of-the-art lab features 500-qubit processors and neural-quantum hybrid systems. Enjoy unlimited R&D budget, flexible hybrid work, and equity in a unicorn-valued startup shaping humanity's digital future.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead cross-functional projects with hardware/software teams to deploy quantum-AI solutions
- Publish breakthrough research in Nature/Science journals with 20+ annual citations
- Develop patent-pending quantum neural network architectures
- Mentor PhD candidates and interns in quantum computing fundamentals
- Secure $2M+ in annual government/industry research grants
- Present findings at Davos, IEEE Quantum Week, and global tech summits
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 3+ years experience with IBM Q or Rigetti quantum systems
- Published research in quantum machine learning or topological quantum computing
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Expertise in quantum error correction and fault-tolerant design
- Track record of securing NSF/DARPA grants or industry partnerships
- Fluency in Python, C++, and quantum assembly languages
- Deep understanding of quantum-classical hybrid architectures