Job Description
Join Nexus Technologies at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence solutions that will redefine computational boundaries. As a Quantum AI Engineer, you'll architect hybrid systems merging quantum computing with neural networks, solving previously impossible problems in cryptography, climate modeling, and autonomous systems. Our San Francisco hub offers unparalleled resources and a culture obsessed with breakthrough innovation.
Why Nexus Technologies? Work with Nobel Prize-winning physicists, access our $500M quantum lab, and shape humanity's computational future. We offer equity, unlimited PTO, and relocation assistance.
Responsibilities
- Design and implement quantum algorithms integrated with deep learning frameworks
- Develop error-correction protocols for quantum-AI hybrid systems
- Collaborate with space agencies on quantum-encrypted satellite communications
- Lead research in quantum neural networks for real-time decision-making
- Optimize quantum circuit architectures for energy efficiency
- Present breakthrough findings at international conferences
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on quantum programming (Qiskit, Cirq, or Q#)
- Expertise in TensorFlow/PyTorch with quantum integration experience
- Published research in Nature/Science or top-tier quantum journals
- Proficiency in high-performance computing environments
- Security clearance or ability to obtain DoD clearance
- Experience with quantum machine learning frameworks