Job Description
Join Nexus Quantum Labs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-generation quantum neural networks that will redefine computational paradigms. As an AI Research Scientist, you'll architect breakthrough algorithms for our quantum machine learning platform, transforming industries from drug discovery to climate modeling. Collaborate with Nobel laureates and top-tier engineers in our state-of-the-art downtown San Francisco lab.
What You'll Achieve:
Design and implement quantum-inspired AI algorithms capable of solving currently intractable problems. Publish groundbreaking research in top-tier journals and conferences. Mentor junior researchers while driving technical strategy for our 2026 quantum-AI roadmap.
Responsibilities
- Develop quantum machine learning algorithms for 2026-era computational challenges
- Lead research on quantum neural network architectures and optimization techniques
- Collaborate with hardware engineers to co-design quantum-AI hybrid systems
- Translate theoretical quantum computing concepts into practical AI solutions
- Drive innovation in quantum error correction for large-scale neural networks
- Present findings at premier conferences (NeurIPS, QIP, etc.)
- Secure federal and private research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 3+ years implementing quantum algorithms in frameworks like Qiskit or Cirq
- Expertise in tensor networks and quantum machine learning architectures
- Strong publication record in quantum/AI research (arXiv, Nature, etc.)
- Proficiency in Python/C++ with quantum simulation libraries
- Demonstrated experience with high-performance computing environments
- Deep understanding of quantum error correction and fault tolerance
- Passion for solving 2026's most complex computational problems