Job Description
Shape the future of technology with Nexus Quantum Labs in 2026. We're pioneering quantum-AI fusion systems that will revolutionize computing, cryptography, and machine learning. As a Quantum AI Research Engineer, you'll develop breakthrough algorithms at the intersection of quantum mechanics and artificial intelligence. Join our elite team to work with cutting-edge hardware and collaborate with Nobel laureates in a state-of-the-art facility overlooking the Bay. This role offers unparalleled opportunities to publish groundbreaking research and commercialize transformative technologies that will define the next decade.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for real-world applications
- Develop error-corrected quantum neural networks using superconducting qubit systems
- Collaborate with quantum hardware teams to optimize AI models for specific quantum processors
- Lead research initiatives in quantum machine learning for drug discovery and materials science
- Author peer-reviewed publications and patents in top-tier journals/conferences
- Mentor junior researchers and foster cross-functional innovation
- Translate theoretical models into deployable quantum-AI prototypes
Qualifications
- PhD in Quantum Computing, AI, Physics, or Computer Science (or equivalent experience)
- 3+ years of quantum algorithm development or advanced AI research experience
- Proficiency in Python, Qiskit, Cirq, and TensorFlow/PyTorch
- Deep understanding of quantum mechanics and quantum information theory
- Experience with NISQ-era quantum hardware and error mitigation techniques
- Strong publication record in quantum computing or machine learning conferences
- Expertise in high-performance computing and distributed systems