Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking a visionary Quantum AI Research Engineer to develop groundbreaking algorithms that will redefine computational boundaries in 2026 and beyond. You'll collaborate with Nobel Prize-winning physicists and elite AI specialists in our state-of-the-art San Francisco lab, where your work will directly impact fields from drug discovery to climate modeling.
As a key member of our Future Technologies Division, you'll leverage our quantum annealing processors and proprietary neural-quantum frameworks to solve previously impossible computational challenges. We offer unparalleled resources, including access to our 128-qubit quantum processors and industry-leading GPU clusters, plus comprehensive benefits including equity, wellness stipends, and flexible remote work options.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems using Qiskit and Cirq frameworks
- Develop hybrid quantum-classical machine learning models for predictive analytics
- Collaborate with quantum hardware team to optimize algorithm performance on annealing processors
- Lead research publications in top-tier journals (Nature, Science, etc.)
- Mentor junior researchers and present findings at international conferences
- Secure government and private research grants for quantum-AI initiatives
- Contribute to open-source quantum-AI libraries and tools
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms or quantum machine learning models
- Expert proficiency in Python, C++, and quantum programming languages
- Published research in quantum computing or quantum information theory
- Deep understanding of quantum error correction and fault tolerance
- Experience with quantum hardware interfaces (D-Wave, IBM Q, Rigetti)
- Strong background in linear algebra, probability theory, and computational complexity
- Proven ability to secure research funding or lead technical projects