Job Description
Join Nexus Labs 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 groundbreaking algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve previously unsolvable challenges in cryptography, material science, and artificial intelligence. Our state-of-the-art facility in Austin's innovation district offers unparalleled resources, including access to quantum annealers and superconducting processors.
We offer a comprehensive benefits package including equity grants, flexible work arrangements, and dedicated research funding. This is your opportunity to shape the technological landscape of the next decade while working alongside the brightest minds in quantum physics and computer science.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error correction protocols to enhance quantum system stability
- Collaborate with hardware engineers to bridge theoretical models with physical implementations
- Lead research initiatives in quantum machine learning applications
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and establish best practices for quantum software development
- Secure research funding through government grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum algorithms or quantum information theory
- Expertise in linear algebra, probability theory, and quantum mechanics
- Strong programming skills in Python/C++ with scientific computing libraries
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate complex mathematical concepts into practical implementations