Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop transformative algorithms that will redefine computing by 2026. Our Austin-based innovation hub offers state-of-the-art laboratories and unparalleled resources to push beyond conventional boundaries.
As a key member of our Future Systems Division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive equity packages, flexible work arrangements, and exclusive access to our global network of quantum research facilities.
Responsibilities
- Design and implement quantum machine learning models for optimization and predictive analytics
- Develop hybrid quantum-classical algorithms for real-world industrial applications
- Lead breakthrough research in error correction and quantum coherence enhancement
- Collaborate with hardware teams to optimize quantum circuit architectures
- Publish findings in top-tier journals and present at international quantum conferences
- Secure research partnerships with leading academic institutions and government agencies
- Mentor junior researchers and drive quantum education initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in quantum machine learning and quantum neural networks
- Strong publication record in quantum computing or AI research
- Proficiency in Python, TensorFlow/PyTorch, and low-level quantum simulation tools
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing and distributed quantum systems
- US citizenship or permanent residency required for government collaborations