Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI hybrid systems for 2026. We're seeking visionary engineers to architect next-gen computational frameworks that will redefine industries. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical breakthroughs into practical solutions.
As a key member of our Quantum AI Research team, you'll leverage cutting-edge quantum processors and advanced neural networks to solve previously unsolvable computational challenges. We provide competitive equity packages, flexible work arrangements, and direct impact on shaping humanity's technological future.
Responsibilities
- Design and implement quantum machine learning algorithms for large-scale data processing
- Develop hybrid quantum-classical computing architectures optimized for real-world applications
- Lead cross-functional research projects spanning quantum physics, AI, and cybersecurity
- Collaborate with academic institutions to publish breakthrough research in top-tier journals
- Translate theoretical quantum computing models into scalable production systems
- Mentor junior researchers while maintaining personal research excellence
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and high-performance computing
- Proven track record of publishing peer-reviewed research in quantum/AI domains
- Strong mathematical foundation in linear algebra, quantum mechanics, and information theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)