Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop next-generation algorithms that will redefine computational boundaries in 2026 and beyond. Our multidisciplinary team operates at the intersection of physics, computer science, and machine learning, tackling challenges from drug discovery to climate modeling. As a key contributor, you'll leverage our cutting-edge quantum hardware platforms and collaborate with Nobel laureates and industry disruptors. This role offers unparalleled opportunities to shape the future of human-machine intelligence while enjoying competitive equity packages and flexible work arrangements in our state-of-the-art research facility.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural network architectures
- Conduct theoretical research on quantum advantage in AI applications
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough research in top-tier journals and conferences
- Lead cross-functional projects with AI and quantum physics specialists
- Contribute to open-source quantum AI frameworks and tools
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Expertise in quantum algorithms and quantum circuit design
- Proficiency in Python, Qiskit, and quantum programming frameworks
- Strong background in machine learning and neural networks
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)
- Publication record in quantum machine learning or related areas
- Ability to translate complex theoretical concepts into practical implementations