Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-computing-powered AI solutions for 2026 and beyond. We're seeking visionary research scientists to develop next-generation algorithms that will redefine industries. Our Austin-based hub combines cutting-edge labs with collaborative workspaces, offering unparalleled resources to transform theoretical breakthroughs into real-world applications. This is your chance to shape the future of artificial intelligence while working alongside Nobel laureates and industry disruptors.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Lead cross-functional R&D teams to prototype AI systems with 1000+ qubit capabilities
- Develop error-correction frameworks for quantum neural networks
- Collaborate with hardware teams to co-design quantum-AI hybrid architectures
- Publish groundbreaking research in top-tier journals and conferences
- Secure $2M+ in government and industry grants for emerging technologies
- Mentor PhD researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Expertise in Python/C++ with quantum libraries (Qiskit, Cirq)
- Published research in Nature/Science or equivalent tier journals
- Proficiency in tensor network simulations and quantum circuit optimization
- Strong background in machine learning and neural network architectures
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Demonstrated ability to secure federal research funding