Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and solve complex computational challenges that will shape the future of AI, cryptography, and materials science. Our state-of-the-art facility in Austin offers unparalleled resources and a collaborative environment where your innovations will directly impact global industries.
As a key member of our Advanced Research Division, you'll work alongside Nobel laureates and industry pioneers to push the boundaries of quantum supremacy. We provide competitive equity packages, flexible work arrangements, and dedicated R&D funding for your experimental projects. If you're passionate about solving humanity's most complex problems through quantum mechanics, this is your opportunity to redefine what's possible.
Responsibilities
- Design and implement novel quantum algorithms for real-world applications
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to optimize quantum circuit performance
- Publish findings in peer-reviewed journals and present at international conferences
- Develop quantum machine learning frameworks for predictive analytics
- Secure patents for breakthrough quantum computing methodologies
- Mentor junior researchers and cross-functional engineering teams
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum algorithms or quantum information theory
- Strong background in linear algebra, probability, and computational complexity
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Proven track record of translating theoretical models into practical implementations
- Excellent communication skills for technical and non-technical audiences