Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum computing with artificial intelligence to solve previously unsolvable challenges in cryptography, materials science, and optimization. Our Austin-based innovation hub offers state-of-the-art labs and unparalleled resources for groundbreaking research.
Why Nexus Labs?
- Collaborate with Nobel laureates and Turing Award recipients
- Access to 512-qubit quantum processors
- Competitive equity packages and career advancement
- Annual research budget of $50,000
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural network architectures
- Optimize quantum circuits for error correction and scalability
- Lead cross-functional projects with AI and quantum physics teams
- Publish research in top-tier journals and conferences
- Secure patents for novel quantum-AI methodologies
- Mentor junior researchers in quantum programming best practices
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent industry experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (TensorFlow/PyTorch)
- Published research in quantum machine learning or quantum algorithms
- Experience with quantum hardware simulators and real quantum processors
- Strong background in linear algebra, probability, and information theory
- Track record of solving complex computational problems
- Excellent communication and collaboration skills