Job Description
We are building the infrastructure for the future. Aether Dynamics is seeking a visionary Senior Systems Architect (2026 Vision) to lead the design and implementation of next-generation, quantum-ready AI platforms. In this pivotal role, you will bridge the gap between theoretical artificial general intelligence and scalable, production-grade engineering.
As a key member of our Future Tech division, you will define the architectural standards that will drive our roadmap through 2026 and beyond. You will work in a highly collaborative, cross-functional environment with world-class researchers and engineers.
Why Join Us?
- Work on cutting-edge technology that defines the next decade of computing.
- Competitive compensation and equity packages.
- Unlimited PTO and flexible remote-first culture.
Are you ready to architect the world of tomorrow? Apply today.
Responsibilities
- Architect Scalable Solutions: Design and oversee the implementation of high-availability, distributed systems capable of handling exascale data processing requirements.
- Quantum-Ready Infrastructure: Develop hybrid architectures that seamlessly integrate classical machine learning models with emerging quantum computing protocols.
- Technical Leadership: Mentor a team of senior engineers and architects, fostering a culture of innovation, code excellence, and continuous learning.
- Strategic Roadmapping: Collaborate with product leaders to define technical roadmaps for 2026, identifying gaps and opportunities for technological advancement.
- Security & Compliance: Implement enterprise-grade security protocols and ensure all architectural decisions adhere to strict data privacy regulations.
- Performance Optimization: Continuously analyze system bottlenecks and implement optimizations to ensure real-time latency reduction across global networks.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field. 10+ years of experience in software engineering and architecture.
- Programming Mastery: Deep expertise in Python, Rust, and Go. Familiarity with low-level systems programming and GPU acceleration (CUDA).
- AI/ML Frameworks: Proven experience designing systems using TensorFlow, PyTorch, or JAX at scale.
- Cloud Architecture: Extensive experience with AWS, Google Cloud Platform (GCP), or Azure, specifically regarding serverless and containerized environments.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated history of solving ambiguous, high-impact problems in fast-paced, startup-like environments.