Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum AI systems for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into industry-shattering applications.
As a key member of our Quantum AI division, you'll work with Nobel laureates and industry pioneers in a culture that values intellectual curiosity and bold experimentation. We provide competitive compensation, equity packages, and comprehensive benefits including flexible schedules, wellness stipends, and professional development funding.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Lead cross-functional research projects integrating quantum computing with neural networks
- Develop proprietary quantum algorithms with 10x computational efficiency gains
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent development portfolios
- Collaborate with hardware teams to optimize quantum-classical hybrid systems
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming (Q#, Qiskit, or Cirq)
- Published research in quantum algorithms or AI optimization
- Expertise in Python, TensorFlow, and high-performance computing frameworks
- Strong background in linear algebra, probability theory, and computational complexity
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)