Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen systems that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources for innovation, including access to quantum processors and collaborative AI frameworks.
We value disruptive thinkers who thrive at the intersection of physics and machine learning. You'll collaborate with Nobel laureates and industry pioneers to develop quantum neural networks, quantum-resistant cryptography, and AI-driven quantum optimization algorithms. This isn't just research—it's the blueprint for 2026's digital infrastructure.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures
- Develop quantum machine learning algorithms for real-world applications
- Create quantum-resistant security protocols for next-gen systems
- Lead experimental validation of quantum AI prototypes
- Collaborate with cross-functional teams to commercialize quantum innovations
- Publish breakthrough research in top-tier journals/conferences
- Mentor junior researchers in quantum computing fundamentals
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years in quantum algorithm development or AI research
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Published work in quantum machine learning or related fields
- Strong background in linear algebra, quantum mechanics, and computational theory
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)