Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms leveraging quantum supremacy and machine learning. Our Austin campus features state-of-the-art labs and collaborative spaces where your innovations will directly impact industries from healthcare to climate modeling.
We offer competitive compensation, equity packages, and unparalleled R&D resources. Shape the future of technology in an environment that values breakthrough thinking and intellectual curiosity.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Collaborate with cross-functional teams to prototype quantum-AI hybrid systems
- Lead research initiatives in quantum error correction and scalability
- Develop simulation frameworks for quantum neural networks
- Translate theoretical quantum computing concepts into deployable solutions
- Publish findings in leading scientific journals and conferences
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Deep understanding of quantum algorithms and quantum information theory
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware (IBM Q, Rigetti, IonQ)
- Published research in quantum computing or related fields
- Ability to work in interdisciplinary teams with physicists and AI specialists
- Security clearance eligibility for government-funded projects