Job Description
We are on the precipice of a technological revolution. At Nexus Horizon Labs, we are building the foundational infrastructure for the autonomous systems of 2026 and beyond. We are seeking a visionary Senior AI Systems Architect to lead our research division, bridging the gap between theoretical quantum computing and practical deep learning applications.
In this role, you won't just manage servers; you will architect the neural backbone of tomorrow. You will work in a cutting-edge environment where code is the raw material for the future, pushing the boundaries of what is possible in Generative AI and Autonomous Agents.
Why Join Us?
• Future-Proof Your Career: Work on the core technologies that will define the 2026 landscape.
• Global Impact: Your work will directly influence the next generation of sentient software.
• Unlimited PTO: We trust our experts to manage their own time.
Responsibilities
- Architect and deploy scalable, high-performance AI inference engines capable of handling exascale data processing.
- Design hybrid neural architectures that integrate seamlessly with next-generation cloud and edge computing infrastructures.
- Lead the research and implementation of novel optimization techniques for transformer models and generative diffusion systems.
- Collaborate with quantum computing researchers to create hybrid quantum-classical algorithms for 2026-ready applications.
- Mentor a team of elite software engineers and data scientists, fostering a culture of innovation and continuous learning.
- Establish and enforce best practices for model governance, security, and ethical AI deployment.
- Define the technical roadmap for our infrastructure, ensuring we are prepared for the scalability demands of the metaverse and spatial computing.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML systems architecture.
- Deep expertise in Python, C++, and Rust, with proven experience optimizing low-latency inference pipelines.
- Hands-on experience with distributed systems, Kubernetes, and container orchestration at massive scale.
- Strong understanding of reinforcement learning, large language models (LLMs), and multimodal AI systems.
- Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to stakeholders.
- Passion for the future of technology and a vision for how AI will transform society in 2026.