Job Description
Shape the technological frontier with Nexus Labs as we pioneer the convergence of quantum computing and artificial intelligence. Join our elite research team in Austin to develop next-gen algorithms that will redefine computational possibilities by 2026. This role offers unparalleled access to cutting-edge resources and the opportunity to publish breakthrough research in top-tier journals.
Responsibilities
- Design and implement quantum neural networks for advanced AI applications
- Lead research in quantum machine learning algorithms for real-world problem-solving
- Collaborate with hardware teams to optimize quantum-AI hybrid systems
- Develop error-correction protocols for scalable quantum processors
- Secure research funding through NSF grants and industry partnerships
- Mentor junior researchers and publish 3+ peer-reviewed papers annually
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms and quantum information theory
- Proficiency in quantum programming languages (Q#, Qiskit, or Cirq)
- Strong background in machine learning frameworks (TensorFlow/PyTorch)
- Track record of publications in Nature/Science or equivalent journals
- Experience with high-performance computing and distributed systems
- Exceptional problem-solving skills and collaborative mindset