Job Description
Join the forefront of technological evolution as we pioneer the next generation of quantum-AI integration solutions. At Nexus Quantum Dynamics, we're building the computational frameworks that will define 2026 and beyond. This role offers the rare opportunity to architect hybrid quantum-neural systems that will revolutionize industries from healthcare to logistics. Our state-of-the-art lab in San Francisco's tech corridor provides unparalleled resources for groundbreaking research and development.
Responsibilities
- Design and implement scalable quantum-AI hybrid architectures for enterprise applications
- Lead cross-disciplinary teams in developing next-gen machine learning models leveraging quantum computing
- Develop proprietary algorithms for quantum-resistant cryptography and data security protocols
- Collaborate with Fortune 500 partners to deploy quantum solutions in production environments
- Author white papers and technical blueprints for quantum-AI convergence standards
- Drive innovation in quantum error correction and neural network optimization techniques
- Mentor junior researchers and contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum machine learning algorithms and quantum circuit design
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks (TensorFlow, PyTorch)
- Published research in top-tier quantum/AI journals or conferences
- Experience with quantum hardware integration (IBM Quantum, Rigetti, D-Wave)
- Strong background in high-performance computing and distributed systems
- Demonstrated ability to lead complex technical projects with cross-functional teams
- Deep understanding of quantum error correction and fault-tolerant computing principles