Job Description
Are you ready to architect the intelligence that will define the 2026 era? Join OmniFuture Systems in the heart of Austin, Texas, where we are bridging the gap between quantum supremacy and artificial general intelligence. We aren't just looking for developers; we are looking for visionaries who want to build the neural networks of tomorrow.
In this high-impact role, you will lead the research and development of hybrid quantum-classical algorithms, pushing the boundaries of what is computationally possible. You will work directly with top-tier physicists and data scientists to solve problems currently deemed unsolvable by classical silicon.
Responsibilities
- Algorithm Design: Develop and implement novel quantum machine learning algorithms that leverage qubit superposition and entanglement.
- System Optimization: Optimize neural network architectures to run efficiently on near-term quantum processors (NISQ devices).
- Hardware Integration: Collaborate with hardware engineering teams to improve qubit coherence times and error correction protocols.
- Research Leadership: Publish high-impact papers and present findings at leading quantum computing conferences.
- Technical Mentorship: Guide a team of junior researchers and engineers in best practices for quantum software development.
- Prototyping: Build scalable prototypes for enterprise applications using quantum cloud platforms.
Qualifications
- Education: PhD in Physics, Computer Science, Mathematics, or a related field with a focus on Quantum Information.
- Experience: 5+ years of professional experience in quantum computing or advanced AI research.
- Programming: Proficiency in Python, C++, and frameworks such as Qiskit, Cirq, or Pennylane.
- Theoretical Knowledge: Deep understanding of linear algebra, tensor calculus, and complex probability theory.
- Cloud Experience: Hands-on experience with cloud quantum computing environments (AWS Braket, IBM Quantum Experience).
- Communication: Ability to translate complex theoretical concepts into actionable technical requirements.