Job Description
Join Nexus Labs at the forefront of 2026's quantum revolution. We're pioneering next-gen quantum algorithms that will redefine computing paradigms. As a key member of our research team, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to drug discovery. Our Austin campus features state-of-the-art quantum labs and unparalleled resources for groundbreaking innovation. We offer competitive equity packages, flexible work arrangements, and continuous learning opportunities to keep you at the cutting edge of quantum physics and machine learning.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in finance, logistics, and healthcare
- Lead cross-functional teams to prototype quantum solutions using IBM Q, Rigetti, and D-Wave systems
- Publish peer-reviewed research in top-tier journals and present at international quantum conferences
- Develop hybrid quantum-classical machine learning frameworks for 2026-era AI systems
- Collaborate with hardware teams to optimize quantum error correction protocols
- Secure research grants from NSF, DARPA, and industry partnerships
- Mentor PhD candidates in quantum information science
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent industry experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum algorithms or quantum error correction
- Expertise in quantum machine learning and quantum neural networks
- Strong background in linear algebra, probability theory, and statistical mechanics
- Proficiency in Python, C++, and high-performance computing frameworks
- Demonstrated ability to translate theoretical concepts into practical implementations