Job Description
Join Nexus Labs at the frontier of technological evolution. We're pioneering quantum-AI hybrid systems that will redefine computing by 2026. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that merge quantum computing with artificial intelligence to solve previously unsolvable challenges. Our multidisciplinary team collaborates with Nobel laureates and industry disruptors to create breakthroughs in materials science, climate modeling, and computational finance.
We offer competitive equity packages, unlimited R&D budget, and access to our state-of-the-art quantum lab. This role requires deep expertise in quantum mechanics and machine learning, combined with entrepreneurial drive to transform theoretical concepts into commercial applications.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems
- Develop hybrid quantum-classical neural network architectures
- Collaborate with quantum hardware teams to validate system performance
- Lead research publications in top-tier journals/conferences
- Translate theoretical models into scalable production systems
- Advise product teams on quantum-AI integration strategies
- Secure federal and private research funding
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or related fields
- Strong background in linear algebra and probability theory
- Experience with high-performance computing environments
- Track record of developing novel algorithms