Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-computing-integrated AI systems. Our Austin-based hub is seeking visionary researchers to develop next-gen machine learning models that will redefine industries by 2026. Collaborate with Nobel laureates and industry disruptors in an environment where innovation meets execution.
We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum research facilities. Shape the future of artificial intelligence with a team that values intellectual curiosity as much as technical excellence.
Responsibilities
- Design and implement quantum-enhanced neural architectures for 2026-era applications
- Lead cross-functional teams to deploy AI solutions in healthcare, logistics, and energy sectors
- Develop proprietary algorithms optimizing quantum-classical hybrid computing workflows
- Author peer-reviewed publications for top-tier AI/quantum journals
- Mentor junior researchers in emerging AI paradigms
- Secure $5M+ in research grants through NSF and DARPA partnerships
- Present breakthrough findings at global AI summits including NeurIPS and ICML
Qualifications
- PhD in Computer Science, Physics, or Mathematics with quantum/AI specialization
- 5+ years experience in quantum machine learning or topological data analysis
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Published record in Nature/Science or equivalent tier journals
- Expertise in error-corrected quantum circuit design
- Demonstrated ability to secure federal research funding
- Strong background in topological quantum computing theory
- Fluency in Python/C++ with high-performance computing optimization