Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a Quantum Computing Research Scientist to architect next-generation algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop fault-tolerant quantum systems, optimize qubit stability, and solve previously unsolvable problems in cryptography, material science, and AI optimization. Your work will directly shape the quantum landscape of tomorrow, pushing the boundaries of human knowledge and technological capability.
We offer unparalleled resources including access to our 1024-qubit quantum processor, dedicated research time, and partnerships with leading academic institutions. Our Austin campus features state-of-the-art labs and a culture that celebrates intellectual curiosity and bold innovation. If you're driven by the challenge of building the computational future, this is your calling.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in logistics, drug discovery, and financial modeling
- Develop error-correction protocols to achieve fault-tolerant quantum computation
- Collaborate with hardware teams to optimize qubit coherence and gate fidelity
- Lead cross-functional research projects integrating quantum-classical hybrid systems
- Publish breakthrough research in peer-reviewed journals and present at international conferences
- Secure external funding through NSF and DARPA proposals
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing specialization
- 5+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum error correction or quantum algorithms
- Expertise in quantum circuit optimization and simulation techniques
- Strong background in linear algebra, probability theory, and computational complexity
- Proficiency in high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical implementations