Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms for autonomous systems, climate modeling, and biomedical breakthroughs. Our Austin-based innovation hub offers unparalleled resources including a 256-qubit quantum processor and petascale GPU clusters. This role offers patent opportunities, industry-disruptive projects, and direct impact on humanity's most pressing challenges.
Responsibilities
- Design quantum-inspired machine learning architectures for real-world optimization problems
- Develop hybrid quantum-classical computing pipelines for autonomous systems
- Lead cross-functional research teams in experimental quantum algorithm implementation
- Collaborate with climate scientists to deploy quantum-enhanced predictive models
- Author peer-reviewed publications and patent novel quantum-AI methodologies
- Present breakthrough findings at global tech conferences and industry summits
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in high-dimensional optimization and quantum error correction
- Publication record in Nature/Science or equivalent tier journals
- Proficiency with GPU-accelerated computing (CUDA, ROCm)
- Strong background in tensor networks and quantum tomography
- Experience with large-scale distributed computing frameworks