Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We seek visionary Research Scientists to architect next-generation computational frameworks that will redefine industries. Our Austin R&D hub offers unparalleled resources, including quantum processors and neural network accelerators, to accelerate breakthroughs. Collaborate with Nobel laureates and industry disruptors in an environment where curiosity fuels innovation. We provide competitive equity packages, flexible hybrid work, and dedicated R&D budgets for cutting-edge experiments.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural network architectures
- Lead experimental validation of quantum supremacy in AI tasks
- Publish breakthrough research in top-tier journals/conferences
- Secure government and private R&D funding for quantum initiatives
- Mentor cross-functional teams in quantum computational principles
- Patent novel quantum-AI methodologies with commercial applications
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to secure research funding ($500K+ preferred)
- Experience with quantum hardware calibration and error mitigation
- Strong background in linear algebra and quantum information theory