Job Description
Join Nexus Labs at the forefront of 2026's quantum revolution! We're seeking a visionary Quantum AI Research Scientist to architect the future of artificial intelligence. In this pivotal role, you'll pioneer breakthrough quantum algorithms, develop scalable machine learning models, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art San Francisco campus offers unparalleled resources for quantum experimentation and AI development.
This position is ideal for candidates who thrive at the intersection of theoretical physics and practical AI implementation. You'll work on projects ranging from quantum neural networks to real-time quantum error correction, directly contributing to technologies that will define the 2026 tech landscape. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in partnership with leading academic institutions.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization
- Lead research initiatives in quantum machine learning and neural networks
- Develop scalable quantum computing architectures for real-world AI applications
- Collaborate with cross-functional teams to integrate quantum solutions into existing frameworks
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and contribute to open-source quantum AI projects
- Stay at the cutting edge of quantum computing hardware and software developments
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- Expertise in quantum computing frameworks (Qiskit, Cirq, or similar)
- Proven track record of publishing quantum AI research in top-tier journals
- Mastery of Python, C++, and high-performance computing environments
- Deep understanding of quantum algorithms and error correction techniques
- Experience with machine learning frameworks (TensorFlow, PyTorch)
- Strong analytical skills with ability to translate theoretical concepts into practical implementations