Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next era of computational power. We seek a visionary Quantum Computing Researcher to architect breakthrough solutions in quantum algorithms, error correction, and hardware optimization. This role offers unparalleled opportunities to shape the future of AI, cryptography, and material science while collaborating with Nobel laureates and industry pioneers.
Our Austin headquarters features state-of-the-art quantum labs, flexible R&D funding, and a culture that rewards bold innovation. You'll lead projects with real-world impact, from quantum-resistant cybersecurity frameworks to molecular modeling for medical breakthroughs. If you're driven to solve humanity's grandest challenges with quantum mechanics, this is your calling.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols to stabilize qubit operations in scalable quantum systems
- Collaborate with hardware teams to co-design quantum processors with enhanced fault tolerance
- Lead research initiatives in quantum machine learning and quantum-inspired classical algorithms
- Publish findings in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers and drive quantum literacy initiatives across the organization
- Secure external funding through NSF grants and industry partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of quantum research experience
- Proven expertise in quantum circuit design and quantum algorithm development
- Strong background in quantum error correction and fault-tolerant architectures
- Publication record in Nature/Science or equivalent high-impact journals
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Experience with superconducting or photonic quantum computing platforms
- Demonstrated ability to translate theoretical concepts into experimental prototypes