Job Description
Are you ready to architect the future? Chronos Dynamics is leading the charge in defining the 2026 Vision ecosystem—a next-generation spatial computing platform designed to bridge the gap between biological intelligence and digital infrastructure. We are looking for a visionary Lead Architect to spearhead the development of our core neural interfaces and spatial rendering engines.
In this pivotal role, you won't just write code; you will define the foundational protocols that will define human interaction for the next decade. You will work in a high-velocity environment where ambiguity is an opportunity, and innovation is the only metric that matters.
Why Join Us?
- Work on cutting-edge technology that is shaping the 2026 landscape.
- Competitive compensation package and equity options.
- Unlimited PTO and a state-of-the-art, remote-first office in Austin.
Responsibilities
- Architect and implement the core infrastructure for the 2026 Vision platform, focusing on low-latency neural feedback loops.
- Lead a team of senior engineers and researchers to define technical roadmaps and best practices.
- Ensure the scalability and security of spatial computing environments handling millions of concurrent users.
- Collaborate closely with product managers and UX designers to translate complex requirements into robust technical solutions.
- Conduct rigorous performance optimization and code reviews to maintain the highest quality standards.
- Stay ahead of industry trends in AR/VR, AI, and cloud computing to drive continuous innovation.
Qualifications
- 10+ years of experience in Systems Architecture, with at least 3 years in high-scale distributed systems.
- Deep proficiency in programming languages such as Python, C++, and Rust.
- Proven experience with Spatial Computing, AR/VR frameworks, or 3D rendering engines (e.g., Unity, Unreal Engine).
- Strong understanding of cloud infrastructure (AWS, Google Cloud, or Azure) and containerization (Docker, Kubernetes).
- Experience with machine learning integration and real-time data processing pipelines.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.