Job Description
Join Nexus Labs at the forefront of quantum innovation as we pioneer breakthroughs that will redefine computing by 2026. Our Austin-based research center is seeking a visionary Quantum Computing Researcher to develop next-gen algorithms and hardware solutions. You'll collaborate with Nobel laureates and industry pioneers in an environment that values audacious thinking and rigorous science. We offer unparalleled resources, competitive equity packages, and the autonomy to explore uncharted territories of quantum mechanics.
This role represents a rare opportunity to shape the technological landscape of the coming decade. Our interdisciplinary teams combine expertise in physics, computer science, and materials science to tackle challenges previously deemed impossible. If you're driven by intellectual curiosity and want to contribute to technologies that will solve humanity's most complex problems, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and simulation problems
- Collaborate with hardware teams to develop error correction protocols and qubit stabilization techniques
- Lead research initiatives in quantum machine learning and quantum neural networks
- Publish findings in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers and foster a culture of scientific excellence
- Secure research grants and partnerships with academic institutions and government agencies
- Contribute to quantum security frameworks for post-quantum cryptography standards
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
- Published work in Nature/Science or equivalent-tier quantum computing publications
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Deep understanding of quantum error correction, fault tolerance, and topological quantum computing
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate theoretical concepts into experimental implementations
- Strong track record of securing research funding or leading R&D projects