Job Description
Shape the future of artificial intelligence at Nexus Future Labs. We're pioneering quantum-AI hybrid systems to solve humanity's most complex challenges. Join our elite team of visionaries developing next-gen computational models that will redefine technological boundaries by 2026.
Our Austin-based innovation hub offers unparalleled resources for breakthrough research, including access to quantum processors, neural network accelerators, and collaborative spaces with Nobel laureates. This role represents a rare opportunity to influence the trajectory of AI development while working in a culture that values intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for real-world applications
- Lead cross-functional R&D projects combining quantum computing with neural networks
- Develop novel optimization techniques for quantum-AI hybrid systems
- Collaborate with hardware engineers to translate theoretical models into scalable implementations
- Publish groundbreaking research in peer-reviewed journals and industry conferences
- Mentor junior researchers and drive innovation through experimental prototyping
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong foundation in deep learning frameworks (TensorFlow/PyTorch)
- Demonstrated ability to publish high-impact research in top-tier venues
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Exceptional problem-solving skills for complex, interdisciplinary challenges