Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-computing-integrated AI systems for 2026 and beyond. We're seeking visionary Quantum AI Research Engineers to transform theoretical breakthroughs into practical applications that will redefine industries. This role offers unparalleled opportunities to work with Nobel laureates, publish in top-tier journals, and contribute to projects that will shape humanity's digital future.
Our Austin campus features state-of-the-art quantum annealing facilities and collaborative innovation spaces. We offer competitive equity packages, flexible work arrangements, and continuous learning stipends. This is more than a job—it's your chance to build the computational paradigms of tomorrow.
Responsibilities
- Design and implement quantum algorithms to accelerate machine learning models
- Develop hybrid quantum-classical computing architectures for complex data processing
- Lead research initiatives in quantum neural networks and topological data analysis
- Collaborate with hardware teams to optimize quantum circuit designs
- Translate theoretical quantum computing concepts into production-ready AI frameworks
- Author peer-reviewed publications and present findings at international conferences
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in advanced mathematics (linear algebra, topology, information theory)
- Publication record in quantum computing or AI research
- Experience with high-performance computing clusters and distributed systems
- Demonstrated ability to translate complex theoretical concepts into practical solutions
- Passion for ethical AI development and quantum computing democratization