Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that leverage quantum supremacy to solve previously impossible optimization problems in cryptography, materials science, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your ideas will shape the future of human innovation.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for complex system optimization
- Develop error-corrected quantum circuits using superconducting qubit architectures
- Lead cross-functional teams to integrate quantum solutions with classical ML frameworks
- Author peer-reviewed research for Nature/Science journals and industry whitepapers
- Prototype quantum applications in drug discovery and financial modeling
- Collaborate with hardware teams to co-design quantum processors
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in quantum programming (Qiskit, Cirq) and quantum circuit optimization
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with superconducting or photonic quantum systems
- Strong background in linear algebra and quantum information theory