Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough innovations. We foster a culture of audacious thinking where your work directly impacts global sustainability, cryptography, and medical breakthroughs.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models
- Develop error-correction protocols for fault-tolerant quantum systems
- Collaborate with cross-functional teams to integrate quantum solutions into AI frameworks
- Lead research initiatives in quantum neural networks and optimization algorithms
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive lab-wide innovation sprints
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and algorithm optimization
- Published research in quantum machine learning or quantum information theory
- Proficiency in high-performance computing and cloud quantum platforms
- Demonstrated ability to translate theoretical concepts into practical implementations