Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop breakthrough quantum algorithms and architectures that will redefine computational boundaries. In this role, you'll collaborate with world-class physicists and engineers to solve previously unsolvable problems in cryptography, drug discovery, and artificial intelligence.
What You'll Achieve:
Design and implement novel quantum error correction protocols for fault-tolerant systems. Lead experimental validation of quantum supremacy claims. Publish groundbreaking research in top-tier journals and conferences. Mentor junior researchers while driving innovation in quantum machine learning.
Why Nexus Labs?
We offer competitive equity packages, unlimited R&D budgets, and access to state-of-the-art quantum hardware. Our cross-disciplinary teams operate in a culture of intellectual curiosity where 20% of time is dedicated to blue-sky projects.
Responsibilities
- Develop quantum algorithms with exponential speedup over classical methods
- Design scalable quantum circuit architectures for practical applications
- Lead experimental validation of quantum systems using superconducting qubits
- Collaborate with AI teams to integrate quantum acceleration into machine learning frameworks
- Secure research funding through NSF and DARPA proposals
- Publish 2-3 peer-reviewed papers annually in Nature/Science journals
- Mentor PhD researchers in quantum information science
Qualifications
- PhD in Physics, Computer Science, or related field with quantum specialization
- 3+ years of hands-on quantum hardware experience (superconducting/ion trap)
- Publication record in quantum computing or quantum information
- Expertise in quantum error correction and fault tolerance
- Proficiency in quantum programming languages (Qiskit, Cirq)
- Strong background in linear algebra and quantum mechanics
- Experience with high-performance computing architectures
- Demonstrated ability to lead complex research projects