Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that bridge quantum computing and artificial intelligence. In this pivotal role, you'll collaborate with world-class physicists and machine learning engineers to solve previously unsolvable computational challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources for exploring quantum machine learning, error correction, and neural network optimization. This is your chance to shape the future of computing while working on problems that impact global industries from healthcare to climate modeling. We offer competitive compensation, flexible work arrangements, and dedicated R&D time for personal projects.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop error-correction protocols for quantum neural networks
- Collaborate with experimental physicists to validate quantum computing models
- Lead cross-functional teams in translating quantum theory into practical AI solutions
- Publish research in top-tier journals and present at international conferences
- Secure patents for novel quantum AI methodologies
- Mentor junior researchers and foster an innovative lab culture
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of experience with quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and quantum simulation tools
- Published research in quantum algorithms or quantum AI
- Deep understanding of quantum entanglement, superposition, and decoherence
- Experience with high-performance computing environments
- Strong problem-solving skills and ability to work in interdisciplinary teams