Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're seeking visionary Quantum AI Research Engineers to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. As a key member of our Future Systems Division, you'll develop next-gen algorithms that redefine computational boundaries and accelerate humanity's transition into the quantum era.
Our state-of-the-art San Francisco lab offers unparalleled resources for prototyping quantum neural networks and hybrid AI systems. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges – from climate modeling to drug discovery – using technologies that will define the next decade.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational frameworks
- Develop hybrid quantum-classical neural networks for real-world problem-solving
- Lead cross-functional R&D teams in prototyping quantum AI applications
- Optimize quantum circuits for fault-tolerant computing in next-gen systems
- Author breakthrough research papers for premier IEEE and Nature journals
- Collaborate with hardware teams to co-design quantum-AI integrated systems
- Drive innovation in quantum-safe cryptography for 2026's digital infrastructure
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
- Expertise in quantum algorithms and quantum machine learning frameworks
- Proficiency in quantum programming languages (Qiskit, Cirq, Quipper)
- Strong publication record in quantum/AI research (arXiv, IEEE journals)
- Experience with hybrid quantum-classical computing architectures
- Deep understanding of quantum error correction and fault tolerance
- Ability to translate theoretical quantum concepts into practical AI solutions