Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the intersection of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine industries by 2026. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks, optimize machine learning algorithms, and solve previously unsolvable computational challenges.
Your work will directly influence our roadmap for autonomous systems, personalized medicine, and climate modeling initiatives. We offer unparalleled resources including access to quantum annealing hardware, dedicated research pods, and a startup environment where your ideas shape the future.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical computing frameworks for real-world deployment
- Lead cross-functional teams in translating theoretical research into production-ready solutions
- Contribute to open-source quantum AI projects and publish in top-tier journals
- Identify and mitigate quantum security vulnerabilities in AI systems
- Collaborate with product teams to commercialize breakthrough quantum AI applications
- Mentor junior researchers and establish best practices for quantum AI development
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent research experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Publication record in quantum machine learning or quantum information theory
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and classical AI optimization
- Strong background in quantum error correction and fault-tolerant computing
- Demonstrated ability to translate complex theoretical concepts into practical applications
- Experience with high-performance computing environments and distributed systems
- Passion for ethical AI development and responsible innovation