Job Description
Join NexusLabs at the forefront of 2026's technological revolution as we pioneer quantum-AI integration for next-generation computational breakthroughs. Our multidisciplinary team is redefining possibilities in cryptography, climate modeling, and autonomous systems. We offer unparalleled resources, flexible hybrid work arrangements, and equity in a rapidly scaling startup. If you thrive at the intersection of theoretical physics and machine learning, this is your opportunity to shape the future.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead cross-functional teams in developing hybrid quantum-classical AI frameworks
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware engineers to bridge quantum hardware and software ecosystems
- Secure research partnerships with leading academic institutions and government agencies
- Translate theoretical models into scalable production-ready solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years in quantum algorithm development or quantum machine learning
- Expertise in Python, C++, and quantum computing frameworks (Qiskit, Cirq)
- Published research in quantum computing or AI (arXiv/IEEE)
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing environments
- Proven ability to lead complex technical projects from concept to deployment