Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art San Francisco lab offers unparalleled resources and collaborative freedom to transform theoretical breakthroughs into real-world applications.
We're seeking visionary minds who thrive at the intersection of physics, machine learning, and software engineering. This role offers competitive equity, flexible work arrangements, and the opportunity to shape the next era of computational science.
Responsibilities
- Design and implement quantum algorithms for AI optimization and machine learning acceleration
- Develop hybrid quantum-classical neural network architectures for enterprise-scale problems
- Lead experimental validation of quantum advantage in real-world applications
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Publish groundbreaking research in top-tier quantum computing and AI journals
- Secure research grants and patents for novel quantum-AI methodologies
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (MS with exceptional experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep expertise in machine learning algorithms and high-performance computing
- Published research in quantum machine learning or quantum algorithms
- Strong proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate complex theoretical concepts into practical implementations