Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution. We're pioneering quantum-AI integration for 2026's most critical challenges. As a Quantum AI Research Scientist, you'll architect next-gen computational paradigms that redefine industry standards. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
What you'll achieve: Develop quantum neural networks, optimize quantum algorithms for AI workloads, and publish breakthrough research in top-tier journals. Collaborate with Nobel laureates and industry disruptors to solve problems previously deemed unsolvable.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional R&D teams in prototyping quantum-AI hybrid systems
- Secure $2M+ in government and private research grants annually
- Author 3+ peer-reviewed publications in Nature/Science journals
- Drive quantum hardware-software co-design for AI acceleration
- Mentor PhD candidates and postdoctoral researchers
- Develop patentable quantum-AI methodologies with commercial potential
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Published work in quantum machine learning or quantum information theory
- Expertise in quantum circuit design using Qiskit, Cirq, or PennyLane
- Proficiency in Python, TensorFlow, and high-performance computing frameworks
- Experience with quantum hardware (IBM, Rigetti, IonQ) or superconducting qubits
- Demonstrated grant-writing success for federal research programs
- Strong background in linear algebra, quantum mechanics, and statistical modeling