Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum computing with machine learning, solving previously unsolvable challenges in cryptography, material science, and autonomous systems.
Our Austin-based innovation hub offers unparalleled resources for breakthrough research, including access to IBM Quantum and D-Wave systems. We provide competitive equity packages, flexible hybrid work, and dedicated R&D budgets. Shape the future of human-computer interaction.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks using Python, Qiskit, and TensorFlow Quantum
- Collaborate with theoretical physicists to model quantum phenomena for AI training
- Lead research initiatives in quantum-resistant cryptography and error correction
- Publish findings in top-tier journals and present at IEEE/ACM conferences
- Drive prototyping of quantum neural networks on superconducting qubit systems
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Experience with cloud quantum computing platforms (AWS Braket, Azure Quantum)
- Published research in quantum machine learning or related fields
- Familiarity with NISQ-era hardware constraints and optimization techniques
- Certification in quantum information theory preferred