Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. Our interdisciplinary team is redefining computational boundaries to solve humanity's most complex challenges by 2026. We seek visionary researchers to architect next-gen algorithms that will revolutionize cryptography, drug discovery, and climate modeling.
Located in San Francisco's vibrant tech ecosystem, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art research facility. We offer competitive equity packages, flexible work arrangements, and access to quantum hardware prototypes.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams to develop hybrid quantum-classical computing frameworks
- Publish breakthrough research in top-tier journals and industry conferences
- Optimize quantum error correction protocols for scalable quantum systems
- Collaborate with hardware teams to translate theoretical models into practical implementations
- Secure research grants and partnerships with leading academic institutions
- Mentor junior researchers and drive innovation through hackathons and internal R&D initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and frameworks
- Strong publication record in quantum computing or AI research
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum mechanics and information theory
- Demonstrated ability to translate theoretical concepts into practical solutions