Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms that merge quantum computing with artificial intelligence to revolutionize drug discovery, climate modeling, and autonomous systems. Our Austin-based hub offers unparalleled resources and a culture of radical innovation.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical AI architectures
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum algorithm performance
- Translate theoretical concepts into scalable production solutions
- Secure $5M+ in research grants and industry partnerships
- Mentor junior researchers and drive quantum-AI curriculum development
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Publication record in Nature/Science or equivalent tier journals
- Demonstrated experience with quantum hardware (IBM, Rigetti, IonQ)
- Strong background in computational complexity theory
- Track record of securing government or corporate research funding
- Exceptional problem-solving for NP-hard optimization challenges