Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for the 2026 horizon. We're seeking a visionary researcher to develop next-gen quantum algorithms and architectures that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve previously unsolvable challenges in cryptography, AI optimization, and molecular modeling. Our state-of-the-art Austin facility offers unparalleled resources including 128-qubit processors and dedicated cryogenic labs.
This position requires a blend of theoretical expertise and hands-on experimentation. You'll contribute to peer-reviewed publications and patent filings while mentoring junior researchers. The ideal candidate thrives at the intersection of physics, computer science, and practical application. Nexus Labs offers competitive equity packages, flexible work arrangements, and continuous learning opportunities through our partnership with MIT Quantum Center.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental validation of quantum hardware performance metrics
- Collaborate with hardware engineers to co-design quantum error correction protocols
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Publish research in top-tier journals (Nature, Science, IEEE Quantum)
- Secure research grants from NSF, DoD, and private quantum consortiums
- Mentor graduate researchers and cross-functional project teams
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum computing research with superconducting or ion-trap systems
- Publication record in quantum algorithm development or quantum error correction
- Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
- Experience with high-performance computing environments (HPC, GPU clusters)
- Demonstrated ability to translate theoretical concepts into experimental prototypes
- Strong background in linear algebra, probability theory, and statistical analysis