Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Systems Architects to design revolutionary solutions that will redefine computing paradigms for 2026 and beyond. In this pivotal role, you'll architect complex quantum neural networks, optimize hybrid quantum-classical workflows, and collaborate with Nobel laureates to push the boundaries of computational possibility. Our Austin campus features state-of-the-art quantum labs and a startup incubator environment where your innovations could transform industries from healthcare to finance. Enjoy comprehensive benefits including equity, unlimited PTO, and access to our exclusive 2026 Tech Fellowship program.
Responsibilities
- Design and implement quantum-AI hybrid architectures for next-gen computational systems
- Develop error-correction protocols for quantum neural networks operating at scale
- Lead cross-disciplinary R&D teams in prototyping quantum-entangled machine learning models
- Optimize quantum-classical algorithms for real-time data processing in edge computing environments
- Architect secure quantum-resistant encryption systems for post-quantum cybersecurity
- Collaborate with hardware teams to design quantum-compatible semiconductor solutions
- Publish breakthrough research in Nature Quantum or IEEE Quantum journals
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Expertise in quantum circuit design and quantum machine learning frameworks (Qiskit, Cirq)
- Proven track record in deploying hybrid quantum-classical systems at enterprise scale
- Deep understanding of quantum error correction and fault-tolerant architectures
- Proficiency in high-performance computing and parallel quantum programming
- Published research in quantum-AI integration or related fields
- Experience with cloud quantum platforms (AWS Braket, Azure Quantum, Google Quantum)
- Certification in Quantum Engineering or equivalent advanced training