Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! 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 design next-gen algorithms that leverage quantum supremacy to accelerate machine learning breakthroughs. Our state-of-the-art facility in San Francisco offers unparalleled resources to push the boundaries of computational science. We value visionary thinkers who thrive at the intersection of theoretical physics and practical AI implementation. If you're passionate about building the computational infrastructure for tomorrow's innovations, we want you on our team.
Responsibilities
- Develop novel quantum machine learning algorithms for optimization and pattern recognition
- Design hybrid quantum-classical neural network architectures
- Implement error-corrected quantum circuits on scalable quantum processors
- Collaborate with cross-functional teams to integrate quantum solutions into real-world applications
- Publish research in leading quantum computing and AI journals
- Lead quantum algorithm prototyping and performance benchmarking
- Advise on quantum hardware requirements for AI acceleration
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Deep understanding of quantum algorithms and error correction techniques
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Experience with high-performance computing architectures
- Published research in quantum machine learning or related fields
- Ability to work in a fast-paced research environment with minimal supervision