Job Description
Join the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. At NexusTech Solutions, we're building the computational backbone for 2026's most ambitious breakthroughs in drug discovery, climate modeling, and autonomous systems. This role offers a rare opportunity to architect infrastructure that bridges quantum computing and machine learning at unprecedented scales.
We're seeking a visionary leader to design, implement, and optimize our next-gen quantum-AI platform. You'll collaborate with Nobel laureates and AI pioneers in an environment that values bold thinking and rapid prototyping. Our Austin campus features state-of-the-art quantum labs and AI training facilities, with relocation packages available for exceptional candidates.
Responsibilities
- Design scalable quantum-AI infrastructure supporting 10,000+ qubit operations
- Architect hybrid quantum-classical computing pipelines for ML workloads
- Implement fault-tolerant quantum error correction protocols
- Optimize AI model training on quantum-accelerated hardware
- Develop security frameworks for quantum-resistant cryptography
- Mentor cross-functional teams in quantum computing principles
- Lead R&D initiatives for 2026-era quantum algorithms
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- 5+ years designing high-performance computing infrastructure
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proven track record with distributed ML frameworks (TensorFlow Quantum, PyTorch Quantum)
- Deep knowledge of quantum error correction and fault tolerance
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Published research in quantum machine learning or quantum algorithms