Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll design next-gen algorithms that bridge quantum computing and neural networks, accelerating breakthroughs in drug discovery, climate modeling, and computational finance. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where curiosity drives innovation.
Responsibilities
- Develop hybrid quantum-classical machine learning frameworks for real-world applications
- Optimize quantum circuit architectures for error correction and scalability
- Lead cross-functional teams in prototyping quantum neural networks
- Publish research in top-tier journals and present at international conferences
- Collaborate with hardware teams to translate algorithms into quantum hardware implementations
- Secure patents for novel quantum-AI methodologies
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or related fields
- Experience with high-performance computing environments
- Deep understanding of quantum error correction techniques
- Strong track record of translating research into production systems