Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop groundbreaking algorithms that will redefine computational capabilities by 2026. Our interdisciplinary team combines quantum physics, machine learning, and advanced software engineering to solve previously unsolvable problems.
As a key member of our Quantum AI division, you'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility overlooking the San Francisco Bay. We offer competitive compensation, equity packages, and unparalleled opportunities to shape the technological landscape of tomorrow.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks for optimization problems
- Lead research initiatives in quantum neural networks and quantum-enhanced AI models
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough research in top-tier journals and conferences
- Drive patent development for novel quantum-AI methodologies
- Mentor junior researchers and contribute to technical roadmaps
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- Expertise in quantum algorithms (Shor's, Grover's, VQE, QAOA)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning and deep learning architectures
- Experience with high-performance computing and parallel processing
- Publication record in quantum computing or AI research
- Ability to translate complex theoretical concepts into practical implementations