Job Description
Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer breakthroughs in quantum algorithms and error correction. Our Austin-based R&D hub combines cutting-edge hardware with visionary software development to solve previously unsolvable challenges in cryptography, AI optimization, and materials science. This role offers unparalleled opportunities to shape the next generation of computational paradigms while working alongside Nobel laureates and industry pioneers.
We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum simulation laboratories. Our culture values intellectual curiosity and collaborative innovation, with dedicated R&D budgets for conference participation and patent development.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error-correction protocols to enhance qubit stability and coherence times
- Collaborate with hardware engineers to translate theoretical models into practical implementations
- Lead cross-functional research initiatives in quantum machine learning applications
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and contribute to quantum education initiatives
- Secure research funding through federal grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum algorithm development or quantum error correction
- Strong foundation in linear algebra, probability theory, and computational complexity
- Experience with high-performance computing environments and parallel programming
- Demonstrated ability to secure research grants or industry partnerships
- Expertise in at least one classical programming language (Python, C++, or Rust)
- Passion for ethical AI development and responsible innovation