Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will redefine computational paradigms. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley facility, working on projects with global impact from cryptography to climate modeling.
What You'll Achieve: Lead quantum algorithm development, publish groundbreaking research in top-tier journals, and contribute to patent portfolios that will shape the next decade of technology. Your work will directly influence our product roadmap and commercial applications.
Why Nexus Labs: We offer unparalleled R&D resources, flexible work arrangements, and equity participation in ventures targeting trillion-dollar markets. Our team includes pioneers from IBM Research, MIT, and Google Quantum AI.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error correction protocols for fault-tolerant quantum systems
- Collaborate with hardware teams to co-design quantum processors
- Publish research in peer-reviewed journals and present at major conferences
- Lead cross-functional projects integrating quantum solutions with classical AI
- Secure research funding through federal and industry partnerships
- Mentor junior researchers and drive quantum computing education initiatives
Qualifications
- PhD in Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum computing or quantum information theory
- Strong background in linear algebra, probability, and computational complexity
- Experience with high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical implementations