Job Description
Shape the future of technology at Nexus Labs as we pioneer quantum computing breakthroughs for 2026. Join our elite research team developing next-generation quantum algorithms and hardware solutions that will revolutionize industries from cryptography to drug discovery. We're seeking visionary minds to accelerate quantum supremacy in this critical decade of technological evolution.
Our state-of-the-art Austin facility offers unparalleled resources for quantum experimentation, including 128-qubit processors and cryogenic research environments. Collaborate with Nobel laureates and industry pioneers while contributing to projects that will define the quantum landscape of tomorrow.
Nexus Labs provides comprehensive benefits including equity packages, flexible research budgets, and sabbatical programs for high-impact publications. This is your opportunity to work at the bleeding edge of computational science and leave a lasting legacy in quantum computing history.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead quantum hardware integration projects with superconducting qubit systems
- Develop error correction protocols for fault-tolerant quantum computing
- Collaborate with industry partners to apply quantum solutions to real-world challenges
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and contribute to quantum education initiatives
- Secure research grants and partnerships with government agencies
Qualifications
- PhD in Physics, Computer Science, or related quantum field (or equivalent experience)
- 3+ years of hands-on quantum computing research experience
- Expertise in quantum circuit design and quantum algorithm development
- Publication record in Nature/Science or equivalent quantum computing journals
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Experience with cryogenic quantum hardware systems
- Strong background in linear algebra, quantum mechanics, and computational complexity