Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that merge quantum computing with artificial intelligence. You'll collaborate with world-class physicists and ML engineers to solve previously unsolvable computational challenges in cryptography, materials science, and climate modeling. This role offers unparalleled resources including access to 128-qubit quantum processors and a $50M R&D budget.
Our state-of-the-art facility in downtown San Francisco features collaborative labs, wellness centers, and flexible workspaces designed for peak innovation. We offer competitive equity packages, unlimited PTO, and comprehensive health benefits including fertility coverage and mental health support.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural networks for real-world applications
- Lead research projects in quantum machine learning and quantum data analysis
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish findings in leading 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 of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Publication record in quantum computing or AI research
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations