Job Description
Join Nexus Labs at the forefront of quantum revolution as we architect the computational landscape of 2026. We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs that will redefine technological boundaries. This role offers unparalleled resources to explore quantum supremacy, error correction, and quantum algorithms with real-world applications in cryptography, materials science, and AI optimization.
As part of our elite Future Technologies Division, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin facility. We provide competitive compensation, unlimited R&D budgets, and flexible work arrangements designed for peak innovation. Your work will directly shape quantum computing's trajectory for the next decade.
Responsibilities
- Design and execute quantum computing experiments targeting 2026-era hardware capabilities
- Develop novel quantum algorithms for complex optimization problems in finance and logistics
- Pioneer quantum error correction techniques for fault-tolerant computing systems
- Lead cross-functional teams to translate theoretical models into practical quantum applications
- Author breakthrough research papers for top-tier journals and industry conferences
- Collaborate with hardware engineers to co-design next-generation quantum processors
- Secure $5M+ in research grants from government and private quantum initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
- Published record in quantum computing or condensed matter physics
- Expertise in quantum algorithms, error correction, and quantum simulation frameworks
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and HPC environments
- Proven ability to secure major research funding and lead complex projects
- Deep understanding of NISQ-era limitations and fault-tolerant quantum computing roadmap
- Strong background in linear algebra, probability theory, and computational complexity