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 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 in our state-of-the-art Austin facility, pushing the limits of quantum supremacy, error correction, and practical quantum applications.
This position offers unparalleled resources, including access to next-generation quantum hardware and a $50M innovation fund. You'll contribute to projects with real-world impact across cryptography, materials science, and AI optimization. If you're passionate about shaping the technological landscape of tomorrow and possess the expertise to harness quantum mechanics' untapped potential, this is your opportunity to make history.
Responsibilities
- Design and implement novel quantum algorithms for complex optimization problems
- Develop error correction protocols to advance quantum coherence beyond 2026 standards
- Lead cross-functional research teams in quantum hardware-software integration
- Publish breakthrough findings in top-tier journals and industry whitepapers
- Collaborate with government agencies on national quantum security initiatives
- Translate theoretical quantum models into practical industrial applications
- Mentor junior researchers in quantum computing fundamentals and emerging techniques
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum research experience
- Published work in Nature/Science or equivalent quantum computing publications
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Expertise in quantum error correction and fault-tolerant architectures
- Experience with superconducting or trapped-ion quantum systems
- Demonstrated ability to secure federal or corporate quantum research grants
- Strong background in complex mathematical modeling and computational theory