Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll architect next-generation algorithms for our quantum neural networks, pushing the boundaries of machine learning and computational physics. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture obsessed with breakthrough innovation.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural network architectures
- Collaborate with quantum hardware engineers to optimize algorithm performance
- Lead research initiatives in quantum cryptography and secure AI systems
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and foster cross-disciplinary innovation
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum error correction
- Proficiency in Python/C++ with quantum frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of published research in quantum machine learning
- Strong understanding of quantum hardware constraints and optimization techniques
- Experience with large-scale distributed computing and high-performance systems