Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect breakthrough algorithms for next-gen encryption, climate modeling, and drug discovery. Our Austin campus features state-of-the-art quantum labs and collaborative spaces where your innovations will directly shape humanity's digital future.
We offer competitive equity packages, flexible hybrid work, and unlimited learning stipends. Be part of the team turning sci-fi into reality.
Responsibilities
- Develop novel quantum machine learning algorithms for optimization problems
- Design error-correction protocols for fault-tolerant quantum computing systems
- Collaborate with cross-functional teams to integrate quantum solutions into real-world applications
- Lead research on quantum neural networks and quantum-inspired classical algorithms
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent portfolio development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum information science or quantum machine learning
- Strong background in linear algebra, quantum mechanics, and algorithm design
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate complex quantum concepts into practical implementations