Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Scientists to develop next-gen computational paradigms that will redefine machine learning, cryptography, and materials science. Our state-of-the-art quantum lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
As a key member of our Future Technologies division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive equity packages, flexible work arrangements, and dedicated R&D funding for your breakthrough projects.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Lead cross-functional teams in developing quantum-AI hybrid computing frameworks
- Conduct cutting-edge research in quantum error correction and fault tolerance
- Develop novel approaches for quantum neural network optimization
- Translate theoretical quantum computing concepts into production-ready systems
- Secure research funding through grant proposals and industry partnerships
- Author peer-reviewed publications and whitepapers in top-tier journals
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
- Proficiency in Python, C++, and quantum circuit design
- Deep understanding of quantum mechanics principles and tensor networks
- Published research in quantum machine learning or quantum algorithms
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and statistical modeling