Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation quantum computing systems that will redefine machine learning capabilities. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and top-tier engineers to develop novel algorithms that harness quantum mechanics for breakthrough AI applications. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimental quantum programming and neural network optimization. This role offers competitive equity, flexible remote options, and the opportunity to shape humanity's technological future.
Responsibilities
- Design and implement quantum neural networks for AI acceleration
- Develop hybrid quantum-classical machine learning frameworks
- Lead experimental quantum algorithm development on 50+ qubit systems
- Collaborate with hardware teams to optimize quantum processor performance
- Publish research in top-tier quantum computing journals
- Mentor junior researchers in quantum programming best practices
- Secure $1M+ in annual research funding through grant proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of quantum algorithm development experience
- Proficiency in Qiskit, Cirq, or equivalent quantum SDKs
- Published research in Nature/Science or equivalent tier journals
- Expertise in tensor networks and quantum error correction
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Experience with superconducting or ion-trap quantum hardware
- Proven ability to secure competitive research grants