Job Description
Join Nexus Quantum Labs at the forefront of computational revolution! We're pioneering quantum-AI hybrid systems to solve humanity's grandest challenges. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms that merge quantum computing with machine learning to accelerate drug discovery, optimize climate models, and redefine technological boundaries.
Our multidisciplinary team collaborates with MIT, Stanford, and NASA to push quantum hardware capabilities. You'll access state-of-the-art quantum processors, GPU clusters, and dedicated research time to explore uncharted territories of computational science.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world problem domains
- Develop hybrid quantum-classical computing frameworks for enterprise applications
- Lead research on quantum neural networks and quantum-enhanced optimization techniques
- Collaborate with hardware teams to co-design quantum processors for AI workloads
- Publish peer-reviewed research and present findings at top-tier conferences
- Mentor junior researchers and foster cross-functional innovation
- Secure competitive research grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Publication record in Nature/Science or top-tier ML/quantum conferences
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault-tolerant systems
- Demonstrated ability to translate theoretical concepts into practical implementations