Job Description
Join the forefront of technological revolution at Nexus Quantum Labs, where we're pioneering the fusion of quantum computing and artificial intelligence. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that leverage quantum supremacy to solve previously unsolvable problems in drug discovery, climate modeling, and cryptography. Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough research.
We're seeking visionary minds to push the boundaries of quantum machine learning. You'll collaborate with Nobel laureates and tech industry pioneers to develop novel quantum neural networks and hybrid quantum-classical systems. This role offers competitive equity, flexible work arrangements, and access to our $500M R&D fund.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical frameworks for enterprise-scale problems
- Lead research initiatives in quantum neural networks and tensor networks
- Optimize quantum circuits for real-world deployment on hardware platforms
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with cross-functional teams to commercialize quantum solutions
- Secure research grants and patents for quantum AI innovations
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Expertise in quantum programming languages (Qiskit, Cirq, Quil)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum information science or quantum AI
- Proficiency with high-performance computing environments
- Experience with quantum error correction and fault-tolerant systems