Job Description
Join NexusLabs 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 architectures that will redefine computational possibilities. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin R&D center, where your breakthroughs could solve humanity's most complex challenges in medicine, climate modeling, and artificial intelligence.
We offer unparalleled resources including 300-qubit quantum processors, dedicated research grants, and a culture where curiosity drives innovation. Your work will directly shape the technological landscape of the coming decade while enjoying exceptional compensation, flexible work arrangements, and comprehensive benefits including equity in our unicorn-status company.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in cryptography and optimization
- Lead cross-functional teams to develop error correction protocols for fault-tolerant quantum systems
- Publish groundbreaking research in top-tier journals and present at international conferences
- Collaborate with hardware engineers to co-design next-generation quantum processors
- Mentor junior researchers and contribute to our quantum computing curriculum
- Secure external funding through NSF and DARPA grants
- Develop open-source quantum computing tools for the research community
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing specialization
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum error correction or topological quantum computing
- Expertise in quantum algorithm design for NISQ-era devices
- Proficiency in Python, C++, and high-performance computing environments
- Strong track record of securing competitive research grants
- Demonstrated ability to translate theoretical concepts into practical implementations