Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum Machine Learning Engineer to pioneer the next generation of AI-driven quantum computing solutions. This role offers unparalleled opportunities to work with cutting-edge hardware and shape the future of computational intelligence. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility, where breakthrough ideas become reality.
Responsibilities
- Develop hybrid quantum-classical ML algorithms for real-world optimization problems
- Design fault-tolerant quantum circuits for deep learning applications
- Implement error mitigation protocols for noisy quantum processors
- Create quantum data preprocessing pipelines for large-scale datasets
- Lead cross-functional teams in translating quantum ML prototypes into production systems
- Publish research in top-tier quantum computing journals and conferences
- Contribute to open-source quantum ML frameworks
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Publication record in quantum information science or ML
- Deep understanding of quantum error correction and fault tolerance
- Expertise in high-performance computing environments