Job Description
Join NeuraQuantum Labs at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that push the boundaries of computational possibility. Our Austin hub offers state-of-the-art facilities and a collaborative environment where your breakthroughs will directly impact industries from healthcare to climate science.
We value intellectual curiosity as much as technical prowess. You'll work alongside Nobel laureates and Turing Award winners while contributing to projects that will define the next decade of innovation. This isn't just a job—it's your chance to shape the future of human-machine symbiosis.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational paradigms
- Lead research on quantum neural networks and hybrid quantum-classical architectures
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Collaborate with cross-functional teams to translate theoretical models into practical applications
- Publish groundbreaking research in top-tier quantum computing journals and conferences
- Secure patents for novel quantum AI methodologies and computational frameworks
- Mentor junior researchers in quantum information science principles
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
- Expertise in quantum algorithms, quantum gates, and quantum circuit design
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical AI frameworks
- Published research in quantum machine learning or quantum information theory
- Deep understanding of quantum decoherence and error mitigation techniques
- Experience with high-performance computing clusters and quantum simulators
- Strong track record of translating theoretical concepts into experimental results