Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum computing and machine learning. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical models into practical breakthroughs. Collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling.
We value intellectual curiosity as much as technical prowess. If you're passionate about redefining computational boundaries, this is where your legacy begins.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional R&D initiatives in quantum error correction and AI optimization
- Publish cutting-edge research in top-tier journals and conferences
- Develop scalable quantum neural network architectures
- Mentor junior researchers and foster innovation culture
- Collaborate with hardware teams to align software solutions with quantum processors
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years in quantum algorithm development or AI research
- Expertise in Python, Qiskit, and TensorFlow/PyTorch
- Published work in quantum machine learning or related fields
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Ability to translate complex concepts into actionable research roadmaps