Job Description
Step into the future at Nexus Labs, where quantum computing meets artificial intelligence. We're seeking a visionary Quantum AI Research Engineer to pioneer breakthroughs that will redefine technology by 2026. Join our elite team at our Austin innovation hub and work with cutting-edge quantum processors to develop next-gen AI models.
This role offers unparalleled opportunities to collaborate with Nobel laureates and publish groundbreaking research. You'll have access to our $50M quantum computing lab and flexible hybrid work arrangements. We offer competitive equity packages, comprehensive health benefits, and dedicated R&D budgets for your projects.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for machine learning applications
- Develop error-corrected quantum circuits for AI optimization tasks
- Lead research in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware teams to prototype quantum-AI integration solutions
- Author high-impact research papers for top-tier journals and conferences
- Mentor junior researchers and drive innovation in quantum-AI methodologies
- Secure federal grants and partnerships for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and quantum algorithms
- Strong background in quantum error correction and fault-tolerant computing
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, C++, and high-performance computing environments
- Experience securing federal research grants (NSF, DARPA, DOE preferred)