Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking visionary engineers to architect the next generation of computational paradigms that will redefine industries from healthcare to space exploration. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate breakthroughs in quantum machine learning and autonomous systems.
Responsibilities
- Design and implement quantum algorithms optimized for classical-quantum hybrid computing architectures
- Develop AI models leveraging quantum processors for exponential speedup in complex problem-solving
- Lead cross-functional R&D projects targeting 2026 commercial applications
- Collaborate with Nobel laureate physicists to push quantum hardware boundaries
- Secure patents for breakthrough quantum-AI methodologies
- Mentor junior researchers in quantum programming and AI ethics
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Experience with quantum hardware providers (IBM Quantum, Rigetti, etc.)
- Strong background in theoretical computer science and linear algebra