Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer the next generation of quantum-enhanced AI systems. We're seeking visionary Quantum AI Research Engineers to develop groundbreaking algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to work with Nobel Prize-winning researchers and deploy solutions that impact global industries.
Our state-of-the-art facility in San Francisco's tech hub provides an environment where quantum theory meets practical application. You'll collaborate with cross-disciplinary teams to transform theoretical concepts into scalable, real-world applications.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Develop hybrid quantum-classical computing architectures for enterprise solutions
- Lead research initiatives in quantum neural networks and optimization problems
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, QAOA) and error correction techniques
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and classical optimization
- Experience with high-performance computing and distributed quantum systems
- Published research in quantum computing or quantum machine learning
- Ability to translate complex theoretical concepts into practical engineering solutions