Job Description
We are pioneering the architecture for the post-silicon era. Aether Systems is seeking visionary engineers to join Project 2026, a groundbreaking initiative designed to merge next-generation neural networks with quantum computing paradigms. This is a rare opportunity to define the standard for autonomous systems in the mid-21st century. You will not just build software; you will engineer the digital nervous system of a new world. We offer a competitive compensation package, equity options, and the chance to work with the brightest minds in Silicon Valley.
Responsibilities
- Architect scalable, fault-tolerant AI infrastructure for the Project 2026 ecosystem.
- Design and optimize deep learning models to run efficiently on hybrid quantum-classical hardware.
- Lead the technical strategy for data pipeline modernization, ensuring petabyte-scale data integrity.
- Collaborate with quantum physicists and hardware engineers to refine algorithmic approaches.
- Mentor junior engineers and establish coding standards for high-impact software delivery.
- Conduct rigorous testing and validation of predictive algorithms in simulated environments.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
- Proficiency in Python, C++, and experience with ML frameworks such as PyTorch or TensorFlow.
- Hands-on experience with quantum computing libraries (e.g., Qiskit, Cirq, or PennyLane).
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, or similar).