Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop breakthrough algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to shape humanity's digital future in our state-of-the-art San Francisco facility, collaborating with Nobel laureates and industry pioneers.
Our team operates at the intersection of theoretical physics, machine learning, and advanced software engineering, pushing the limits of what's possible in post-quantum cryptography and neural network optimization. You'll work on projects with global impact, from climate modeling to drug discovery, using our proprietary quantum annealing infrastructure.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization tasks
- Develop hybrid quantum-classical machine learning frameworks
- Lead research on quantum-resistant cryptography protocols
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to open-source quantum AI projects
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Experience with quantum annealing or superconducting qubit systems
- Publication record in quantum computing or AI research
- Proficiency in high-performance computing environments
- Deep understanding of quantum error correction techniques