Job Description
Join Nexus Quantum Technologies at the forefront of computational evolution! We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that redefine machine learning paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. If you're passionate about pushing the boundaries of what's computationally possible, this is your opportunity to shape 2026's technological landscape.
Responsibilities
- Develop hybrid quantum-classical AI models for optimization and machine learning applications
- Design and implement error-corrected quantum circuits for deep learning acceleration
- Collaborate with cross-functional teams to prototype quantum neural network architectures
- Lead research in quantum-inspired algorithms for real-time data analysis
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (Master's with 5+ years experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Quipper)
- Strong foundation in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or quantum machine learning
- Experience with high-performance computing environments
- Deep understanding of quantum error correction and fault tolerance