Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing groundbreaking solutions that will redefine computational capabilities by 2026. This role offers unparalleled opportunity to shape the future of machine learning through quantum-enhanced algorithms. We provide competitive equity packages, flexible work arrangements, and access to state-of-the-art quantum computing infrastructure in our San Francisco Innovation Hub.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Lead R&D initiatives in quantum neural network architectures
- Collaborate with cross-functional teams to integrate quantum solutions into production AI platforms
- Publish breakthrough research in top-tier scientific journals and conferences
- Develop patentable quantum-AI hybrid methodologies for commercial applications
- Mentor junior researchers and contribute to technical roadmap planning
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum computing or AI at top-tier conferences
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Expertise in linear algebra, probability theory, and quantum information theory