Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Researcher, you'll architect breakthrough algorithms that merge quantum computing with neural networks to solve previously impossible computational challenges. Our multidisciplinary team operates at the intersection of physics, machine learning, and software engineering in a state-of-the-art lab environment. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements to empower your innovative potential.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Collaborate with physicists to develop quantum-classical hybrid computing frameworks
- Lead research initiatives in quantum neural networks and algorithm optimization
- Translate theoretical quantum computing concepts into deployable AI solutions
- Publish peer-reviewed research and present findings at industry conferences
- Mentor junior researchers and drive cross-functional innovation sprints
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Experience with tensor networks and quantum circuit optimization
- Strong publication record in top-tier AI/quantum journals
- Expertise in Python/C++ and high-performance computing frameworks
- Demonstrated ability to translate research into scalable products
- Passion for ethical AI development and quantum democratization