Job Description
We are seeking a visionary Senior AI & Quantum Integration Engineer to lead our breakthrough projects for the year 2026 and beyond. At Aether Dynamics, we don't just predict the future; we architect it. We are building the infrastructure that will define the next era of computational power, and we need a technical leader who is comfortable navigating the frontier of quantum computing and artificial intelligence.
In this high-impact role, you will be responsible for bridging the gap between classical machine learning algorithms and emerging quantum architectures. You will collaborate with world-class researchers and engineers to design systems that leverage the unique capabilities of quantum processors while maintaining compatibility with existing cloud infrastructure.
If you are passionate about solving complex problems at the intersection of physics and software engineering, and you want to be at the forefront of the technological revolution in 2026, we want to hear from you.
Responsibilities
- Design and Architect: Lead the architectural design of hybrid quantum-classical systems optimized for next-gen AI workloads.
- System Optimization: Develop and implement algorithms that effectively utilize quantum gates and qubits to solve complex optimization problems.
- Integration: Integrate quantum processing units (QPUs) with classical cloud environments, ensuring seamless data flow and error mitigation.
- Prototype Development: Build rapid prototypes for internal research projects and external client demonstrations of future technologies.
- Code Review & Mentorship: Provide technical leadership to junior engineers and researchers, fostering a culture of innovation and precision.
- Documentation: Create comprehensive technical documentation and white papers to communicate complex concepts to stakeholders and the scientific community.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related field.
- Experience: 5+ years of professional experience in software engineering, with a strong focus on machine learning, distributed systems, or high-performance computing.
- Quantum Knowledge: Demonstrated experience or deep theoretical understanding of quantum computing concepts (Qubits, Superposition, Entanglement, Quantum Gates).
- Programming: Proficiency in Python, C++, or Rust, with familiarity in quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
- Problem Solving: Exceptional ability to troubleshoot complex system-level issues and optimize performance under constraints.
- Communication: Strong verbal and written communication skills, capable of translating technical jargon into strategic business value.