Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI convergence for 2026. We seek a visionary Quantum AI Research Scientist to develop breakthrough algorithms that will redefine computational boundaries. This role offers unparalleled resources to explore quantum machine learning, error correction, and hybrid quantum-classical systems in our state-of-the-art Austin facility.
As part of our elite Future Systems Division, you'll collaborate with Nobel laureates and industry disruptors to create the next generation of quantum neural networks. Your work will directly impact healthcare diagnostics, climate modeling, and materials science applications. We provide competitive equity packages, unlimited research budgets, and dedicated quantum hardware access.
Responsibilities
- Design and implement quantum algorithms leveraging AI optimization techniques for 2026-scale problems
- Lead research in quantum error correction and fault-tolerant computing systems
- Develop hybrid quantum-classical frameworks for industrial applications
- Author peer-reviewed publications and patents in quantum-AI convergence
- Mentor junior researchers in quantum machine learning methodologies
- Collaborate with hardware teams to co-design next-generation quantum processors
- Present findings at international conferences including IEEE Quantum Week
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 5+ years research experience
- Publication record in Nature/Science or equivalent journals on quantum algorithms
- Expertise in Qiskit, Cirq, or PennyLane frameworks
- Proven ability to translate theoretical quantum concepts into practical implementations
- Familiarity with NISQ-era limitations and mitigation strategies
- Strong background in tensor networks and quantum circuit optimization
- Experience with high-performance computing environments