Job Description
Join NeuroQuantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Engineer to pioneer the convergence of quantum computing and artificial intelligence. In this pivotal role, you'll develop next-gen algorithms that redefine computational boundaries while working alongside Nobel-caliber researchers in our Austin-based quantum-AI incubator. Our competitive compensation package includes equity, flexible research grants, and access to the world's most advanced quantum hardware.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks for unsolved computational challenges
- Develop error-corrected quantum neural networks with 1000+ qubit capabilities
- Lead breakthrough research in quantum-enhanced generative adversarial networks
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Author peer-reviewed publications and patent novel quantum-AI methodologies
- Mentor cross-functional teams in quantum algorithm implementation
- Present findings at premier conferences like Q2B and NeurIPS
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- Expertise in quantum programming languages (Qiskit, Cirq, PennyLane)
- Proven track record publishing in Nature/Science journals or top-tier conferences
- Deep understanding of quantum error correction and fault-tolerant systems
- Strong Python/C++ proficiency with quantum simulation libraries
- Experience with cloud quantum platforms (IBM Quantum, AWS Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations