Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer next-generation computational paradigms. In this role, you'll develop hybrid quantum-classical algorithms that redefine machine learning capabilities while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art Austin facility offers unparalleled resources including 512-qubit processors and exascale computing clusters. This is your chance to solve humanity's grandest challenges—from climate modeling to personalized medicine—while shaping the future of artificial intelligence.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Lead cross-functional teams in developing error-corrected quantum neural networks
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware engineers to optimize quantum-classical interfaces
- Secure federal grants and industry partnerships for advanced research initiatives
- Mentor PhD candidates in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Publication record in quantum machine learning or related fields
- Expertise in tensor networks and quantum error correction protocols
- Strong background in deep learning architectures (transformers, GANs)
- Proficiency in high-performance computing environments (HPC, GPU clusters)