Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will redefine computational boundaries. Our interdisciplinary team operates at the intersection of physics, computer science, and AI, pushing the limits of what's possible in cryptography, materials science, and machine learning.
About Nexus Labs: We're a Silicon Valley-based research lab backed by leading venture capital and strategic partners. Our mission is to accelerate quantum adoption by 2026 through open-source frameworks and industry collaborations. You'll work in our state-of-the-art facility with access to quantum simulators and cloud-based quantum processors.
What We Offer: Competitive equity packages, unlimited learning stipends, flexible hybrid work, and dedicated quantum research time. We invest in your growth through quarterly innovation sabbaticals and partnerships with MIT, Stanford, and ETH Zurich.
Responsibilities
- Design and implement novel quantum algorithms for optimization problems in logistics and drug discovery
- Develop error correction protocols for fault-tolerant quantum systems
- Collaborate with AI researchers to hybridize quantum-classical machine learning models
- Lead open-source quantum computing framework development in Python/C++
- Publish research in Nature Quantum Information and top-tier conferences
- Mentor junior researchers and supervise PhD interns
- Secure external funding through NSF and DARPA grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
- Publication record in quantum algorithm development
- Proficiency in quantum error correction and fault-tolerance techniques
- Strong background in linear algebra, probability, and information theory
- Experience with high-performance computing and parallelization
- Track record of translating theoretical research into practical implementations