Job Description
Join Nexus Quantum Labs at the forefront of quantum-AI fusion research. We're pioneering next-generation computational paradigms that will redefine technology by 2026. This role offers unparalleled opportunity to shape the future of quantum machine learning algorithms.
Our state-of-the-art lab in San Francisco provides access to quantum hardware, supercomputing resources, and cross-disciplinary teams tackling humanity's most complex challenges. We offer competitive compensation, flexible work arrangements, and continuous learning opportunities.
Responsibilities
- Develop quantum neural network architectures for 2026-era applications
- Design error-corrected quantum algorithms for real-world deployment
- Collaborate with AI teams to integrate quantum acceleration into ML pipelines
- Lead research publications in top-tier quantum computing journals
- Prototype quantum-classical hybrid systems for enterprise clients
- Mentor junior researchers in quantum programming best practices
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on quantum algorithm development using frameworks like Qiskit or Cirq
- Deep expertise in quantum error correction and fault tolerance
- Published research in quantum machine learning or quantum information theory
- Strong programming skills in Python, C++, and quantum assembly languages
- Experience with high-performance computing environments
- Ability to translate complex quantum concepts for technical and non-technical stakeholders