Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as a Quantum Computing Research Scientist. We're pioneering quantum algorithms that will redefine computational boundaries by 2026. This role offers an unparalleled opportunity to shape the future of quantum information systems in a state-of-the-art research environment.
As a key member of our elite R&D team, you'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum processors and novel quantum error correction techniques. Our Austin campus features cutting-edge labs and a collaborative culture that values both individual brilliance and collective innovation.
We offer competitive compensation, comprehensive benefits including equity, and a flexible work environment designed to maximize breakthrough research. If you're passionate about solving humanity's most complex problems through quantum mechanics, this is your defining career moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop advanced quantum error correction protocols for fault-tolerant computing
- Lead experimental validation of quantum hardware performance metrics
- Collaborate with hardware teams to optimize quantum processor architectures
- Publish peer-reviewed research in top-tier quantum computing journals
- Contribute to open-source quantum computing frameworks and libraries
- Mentor junior researchers and graduate students in quantum methodologies
Qualifications
- PhD in Physics, Computer Science, or related quantum computing field
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in quantum error correction and fault tolerance
- Publication record in quantum computing or related fields
- Experience with quantum hardware simulation and validation tools
- Demonstrated ability to work in cross-functional R&D environments
- Expertise in at least one classical high-performance computing framework