Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a Quantum Computing Research Scientist to develop next-generation algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve previously unsolvable problems in cryptography, materials science, and artificial intelligence. Our Austin campus features state-of-the-art quantum hardware and a collaborative environment where your ideas become reality.
As part of our Innovation 2026 initiative, you'll contribute to projects that will shape the next decade of technological advancement. We offer competitive equity packages, flexible work arrangements, and dedicated R&D resources to support groundbreaking research. If you're passionate about pushing the boundaries of what's possible, this is your opportunity to make history.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead research in quantum error correction and fault-tolerant computing architectures
- Collaborate with hardware teams to develop quantum software compatible with next-generation processors
- Publish breakthrough research in top-tier journals and present at international conferences
- Develop quantum machine learning frameworks for predictive analytics and AI acceleration
- Secure research grants and partnerships with leading academic institutions
- Mentor junior researchers and foster a culture of quantum innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Minimum 5 years of experience in quantum algorithm development or quantum hardware
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Published research in quantum computing or quantum information theory
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with high-performance computing and parallel processing architectures
- Demonstrated ability to translate theoretical concepts into practical implementations