Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing revolutionary solutions for climate modeling, drug discovery, and computational optimization. We offer an unparalleled environment where your work directly shapes the technological landscape of 2026 and beyond.
What you'll achieve:
- Lead breakthrough research in quantum machine learning algorithms
- Collaborate with Nobel laureates and Turing award winners
- Access state-of-the-art quantum computing infrastructure
- Shape industry standards for quantum-AI integration
Responsibilities
- Design and implement novel quantum neural network architectures
- Develop hybrid quantum-classical optimization frameworks
- Lead cross-functional R&D projects with 10+ specialists
- Publish findings in Nature/Science journals and top conferences
- Secure $2M+ in government/industry research grants
- Mentor postdoctoral researchers in quantum algorithms
- Translate theoretical models into prototype implementations
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum circuit simulation (Qiskit/Cirq)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Publication record in quantum information science
- Proficiency in high-performance computing environments
- Strong background in linear algebra and quantum mechanics
- Experience with quantum error correction protocols
- Demonstrated ability to secure research funding