Job Description
Join Nexus Quantum Labs at the forefront of the quantum revolution. We're pioneering next-gen computational technologies that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop breakthrough algorithms and architectures in our state-of-the-art Austin facility. Collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to drug discovery. We offer competitive compensation, equity packages, and unparalleled resources including our 512-qubit quantum annealer.
This role demands both theoretical brilliance and practical innovation. You'll publish in top-tier journals, mentor junior researchers, and contribute to open-source quantum frameworks. Our culture thrives on intellectual curiosity—here, your ideas could reshape the technological landscape.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error-correction protocols for fault-tolerant quantum systems
- Lead cross-functional teams to integrate quantum solutions with classical computing infrastructure
- Author peer-reviewed publications and present findings at international conferences
- Collaborate with hardware engineers to prototype quantum circuits on superconducting and photonic platforms
- Identify commercial applications for emerging quantum technologies in finance, healthcare, and logistics
- Mentor graduate researchers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical languages (Python, C++)
- Publication record in Nature/Science or equivalent high-impact journals
- Expertise in quantum error correction and fault-tolerant architectures
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with quantum annealing or NISQ-era hardware platforms
- Strong background in linear algebra, probability theory, and complexity theory