Job Description
Join Nexus Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to build scalable quantum systems capable of solving previously impossible problems in cryptography, material science, and AI optimization. Our state-of-the-art Quantum Lab offers unparalleled resources including 128-qubit processors and dedicated cryogenic infrastructure.
This position offers competitive equity packages, flexible hybrid work arrangements, and exclusive access to our annual Future Tech Summit in Silicon Valley. Candidates will contribute to our patent portfolio while mentoring the next generation of quantum engineers through our university partnership program.
Responsibilities
- Design and implement quantum algorithms for practical industrial applications
- Lead research in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to optimize quantum circuit architectures
- Develop quantum machine learning frameworks for predictive analytics
- Publish findings in top-tier journals and present at international conferences
- Secure government and private research grants for quantum initiatives
- Mentor junior researchers in quantum programming best practices
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum computing or quantum information theory
- Strong background in linear algebra, complex analysis, and probability theory
- Experience with superconducting or trapped-ion quantum systems
- Proven ability to secure competitive research funding
- Excellent communication skills for technical and non-technical audiences