Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-powered machine learning solutions for 2026. We're seeking visionary Quantum Machine Learning Engineers to architect next-gen AI systems that transcend classical computing boundaries. This role demands expertise in quantum algorithms, hybrid quantum-classical models, and ethical AI deployment in high-stakes industries like healthcare and climate science.
You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, equipped with IBM Quantum and D-Wave systems. We offer competitive equity packages, unlimited learning stipends, and the opportunity to shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum algorithms for unsupervised learning and optimization problems
- Develop hybrid quantum-classical neural architectures for real-world applications
- Optimize quantum circuits for error mitigation and scalability on current hardware
- Translate complex quantum ML concepts into enterprise-grade solutions
- Lead ethical AI framework development for quantum-enhanced decision systems
- Collaborate with cross-functional teams to integrate quantum ML into production pipelines
- Publish research in peer-reviewed journals and industry conferences
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (MS with exceptional experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python
- Experience with quantum error correction protocols and NISQ-era hardware constraints
- Published research in quantum machine learning or related fields
- Strong understanding of quantum information theory and tensor networks
- Track record of deploying production ML systems at scale
- Knowledge of ethical AI frameworks and responsible innovation practices
- Ability to communicate complex quantum concepts to non-technical stakeholders