Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Researchers to architect next-gen algorithms and systems 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, developing scalable quantum architectures that solve previously impossible problems in cryptography, materials science, and artificial intelligence.
Our multidisciplinary teams leverage cutting-edge quantum processors, superconducting qubits, and photonic systems to push the limits of quantum advantage. You'll contribute to breakthrough projects with global impact while enjoying unparalleled resources and mentorship from quantum computing pioneers. This is your opportunity to shape the technological landscape of the mid-21st century.
Responsibilities
- Design and implement novel quantum algorithms for practical industrial applications
- Develop error-correction protocols for fault-tolerant quantum computation
- Lead research on quantum machine learning frameworks for 2026-era AI systems
- Collaborate on quantum hardware-software co-design for optimized performance
- Author breakthrough publications in top-tier quantum computing journals
- Lead cross-functional quantum research projects with industry partners
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction and fault tolerance
- Publication record in quantum computing or related fields
- Experience with superconducting or photonic quantum systems
- Strong background in quantum information theory and complexity
- Ability to translate theoretical concepts into practical implementations