Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that bridge quantum computing and artificial intelligence. You'll work in our state-of-the-art Austin R&D facility, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.
Our team operates at the intersection of quantum mechanics, machine learning, and predictive analytics, creating systems that will redefine computational capabilities. This role offers unparalleled opportunity to shape the technological landscape of the coming decade while working with cutting-edge hardware and software environments.
Responsibilities
- Design and implement quantum algorithms leveraging AI/ML frameworks for 2026-era applications
- Lead cross-functional research initiatives in quantum error correction and neural network optimization
- Develop predictive models for quantum hardware scalability and performance forecasting
- Collaborate with hardware engineers to integrate quantum processors with classical AI systems
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Mentor junior researchers and contribute to patent development for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and quantum neural networks
- Proven track record of publishing in quantum-AI or related high-impact journals
- Strong background in complex algorithm design and optimization techniques
- Familiarity with NISQ-era hardware constraints and error mitigation strategies
- Ability to translate theoretical concepts into practical implementations