Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI convergence. We're seeking a visionary Quantum AI Research Engineer to develop next-generation algorithms that bridge quantum computing and artificial intelligence. You'll collaborate with world-class scientists in our state-of-the-art San Francisco lab, pushing boundaries in machine learning optimization and quantum-resistant cryptography.
This role offers unparalleled opportunities to shape the future of computational intelligence while working with cutting-edge hardware and software systems. Our team operates at the intersection of theoretical physics, advanced mathematics, and practical AI implementation.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for real-world applications
- Develop quantum algorithms to accelerate AI training and inference processes
- Create quantum-resistant encryption protocols for next-gen data security
- Collaborate with hardware teams to optimize quantum computing workflows
- Lead research initiatives in quantum neural networks and quantum-enhanced optimization
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in deep learning frameworks (TensorFlow/PyTorch)
- Expertise in quantum error correction and fault-tolerant computing
- Published research in quantum computing or AI/ML
- Experience with high-performance computing environments
- Ability to translate complex theoretical concepts into practical implementations