Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we pioneer quantum-AI fusion solutions for 2026 and beyond. Our interdisciplinary team is redefining computational boundaries, and we seek visionary engineers to architect the next generation of quantum neural networks. Enjoy competitive equity, flexible hybrid work, and exclusive access to our state-of-the-art quantum labs in the heart of Silicon Valley.
Responsibilities
- Design and implement quantum algorithms leveraging AI/ML frameworks for real-world optimization problems
- Develop hybrid quantum-classical architectures for enterprise-scale applications
- Collaborate with physicists to translate theoretical models into deployable quantum computing solutions
- Lead R&D initiatives in error correction and quantum coherence enhancement
- Publish breakthrough research in top-tier journals and industry whitepapers
- Mentor junior engineers in quantum programming best practices
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (MS + 5 years equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and classical optimization
- Published research in quantum algorithms or quantum machine learning
- Experience with superconducting or photonic quantum systems
- Strong background in linear algebra and quantum information theory
- Proven ability to translate complex technical concepts for cross-functional teams