Job Description
Join Nexus Quantum 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 Engineer, you'll architect next-gen algorithms for quantum machine learning, collaborate with Nobel laureates, and contribute to breakthroughs in computational biology and cryptography. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where curiosity drives innovation.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for complex optimization problems
- Lead research in quantum neural networks and quantum-enhanced machine learning models
- Collaborate with cross-functional teams to prototype quantum solutions for real-world applications
- Develop quantum error mitigation techniques for scalable AI systems
- Publish research in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in linear algebra, probability theory, and computational complexity
- Publication record in quantum computing or AI research
- Experience with high-performance computing and GPU acceleration
- Expertise in at least one classical ML framework (TensorFlow/PyTorch)