Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that merge quantum computing with machine learning, pushing the boundaries of computational possibility. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your innovations will directly shape the future of AI.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks for enterprise-scale problems
- Collaborate with cross-functional teams to prototype and deploy quantum-AI solutions
- Lead research initiatives in quantum neural networks and optimization algorithms
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to open-source quantum-AI projects
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (MS with exceptional experience)
- Expertise in quantum circuit design and quantum error correction techniques
- Proficiency in Python, Qiskit, Cirq, and quantum simulation frameworks
- Strong background in machine learning (TensorFlow/PyTorch) and high-performance computing
- Published research in quantum machine learning or quantum algorithms
- Demonstrated ability to translate complex theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)