Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum-AI convergence for 2026 and beyond. We seek 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 groundbreaking work in quantum machine learning, cryptography, and autonomous systems. Collaborate with Nobel laureates and industry disruptors in an environment where innovation thrives. This role offers competitive equity packages and flexible work arrangements for top-tier talent.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional R&D teams in developing hybrid quantum-classical neural networks
- Publish breakthrough research in top-tier journals and industry conferences
- Secure federal and private funding for experimental quantum-AI initiatives
- Architect secure quantum-resistant communication protocols
- Mentor junior researchers in emerging quantum programming frameworks
- Collaborate with hardware teams to optimize quantum circuit designs
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Publication record in Nature/Science or top-tier quantum computing conferences
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)
- Demonstrated ability to secure research grants exceeding $1M
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit optimization