Job Description
Join NexusLabs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Engineer to architect the next generation of computational paradigms that will redefine industries from healthcare to materials science.
In this role, you'll collaborate with Nobel laureates and industry disruptors in our Austin Innovation Hub, leveraging our quantum annealing infrastructure and neuromorphic computing platforms. Your work will directly impact breakthroughs in drug discovery, climate modeling, and cryptographic security.
We offer unparalleled resources, including access to our 128-qubit quantum processor and $50M R&D budget. If you're ready to solve problems that were previously unsolvable, this is your moment.
Responsibilities
- Design and implement hybrid quantum-classical machine learning algorithms for complex optimization problems
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Lead cross-functional teams in prototyping quantum neural networks and variational algorithms
- Create computational frameworks for simulating molecular interactions at quantum scale
- Author peer-reviewed research papers and contribute to open-source quantum AI libraries
- Collaborate with hardware engineers to optimize quantum gate operations
- Develop security protocols for post-quantum cryptographic systems
Qualifications
- PhD in Quantum Physics, Computer Science, or Mathematics with 3+ years of quantum computing experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum circuit design
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python frameworks
- Publication record in top-tier quantum computing or AI conferences (QIP, NeurIPS)
- Deep understanding of quantum error correction and fault tolerance techniques
- Experience with neuromorphic computing architectures and quantum machine learning
- Strong background in linear algebra, probability theory, and statistical modeling