Job Description
Are you ready to architect the future?
FutureCore Dynamics is pioneering the 2026 technological landscape. We are seeking a visionary AI Infrastructure Lead to design and deploy the next generation of hyperscale neural networks and quantum-ready systems. This is a rare opportunity to work at the intersection of Artificial Intelligence, Quantum Computing, and High-Performance Computing (HPC) in the heart of Silicon Valley.
In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are resilient, scalable, and ready for the demands of the 2026 era and beyond.
Why join us?
- Work with cutting-edge technology (Neuromorphic Computing, Quantum Integration).
- Competitive compensation package and equity options.
- Flexible remote-first culture with a high-touch SF office.
Responsibilities
- Architect and implement scalable AI Infrastructure capable of handling exascale data processing.
- Lead the integration of Quantum Computing protocols into classical neural network architectures.
- Define the technical roadmap for 2026 system upgrades and hardware-software co-design.
- Optimize deep learning models for edge computing and decentralized networks.
- Mentor a team of senior engineers and data scientists on best practices in distributed systems.
- Ensure high availability and fault tolerance for critical AI workloads.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related field with a focus on AI.
- 10+ years of experience in software engineering, specifically in Machine Learning and Cloud Infrastructure.
- Deep expertise in Python, C++, and Rust, with experience in containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade AI Systems at scale.
- Experience with quantum computing frameworks (e.g., Qiskit, Cirq) or neuromorphic hardware.
- Strong understanding of AI ethics, governance, and safety protocols.