Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing's future. As a Quantum AI Research Engineer, you'll collaborate with Nobel laureates and industry disruptors to develop next-gen algorithms for cryptography, optimization, and machine learning. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture that celebrates bold innovation.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Develop hybrid quantum-classical algorithms to solve complex optimization problems
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI pipelines
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Publication record in quantum computing or AI research
- Ability to translate theoretical concepts into practical implementations
- Expertise in high-performance computing and parallel processing