Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Researcher to develop breakthrough algorithms and hardware architectures that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and scientific modeling while working with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley facility.
As part of our elite Quantum Innovation Division, you'll collaborate with interdisciplinary teams to overcome quantum supremacy challenges and translate theoretical advances into real-world applications. We provide competitive equity packages, unlimited R&D budgets, and flexible work arrangements designed for maximum creativity.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols to achieve fault-tolerant quantum systems
- Lead research initiatives in quantum hardware integration with classical computing frameworks
- Collaborate with product teams to commercialize quantum solutions for finance, healthcare, and logistics
- Publish peer-reviewed research and present findings at top-tier conferences
- Mentor junior researchers and establish best practices in quantum development
- Secure patents for breakthrough quantum methodologies and architectures
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum computing or quantum information theory
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency in high-performance computing environments and parallel processing
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with superconducting or photonic quantum computing platforms
- Demonstrated ability to translate theoretical concepts into practical implementations