Job Description
We are pioneering the architecture for the 2026 AI revolution. As a Lead AI Infrastructure Architect at Nexus Horizon Labs, you will be responsible for designing and deploying the high-performance computing systems that power the next generation of artificial intelligence. You will bridge the gap between cutting-edge machine learning research and scalable, resilient production infrastructure. If you are ready to build the backbone of the future, we want to hear from you.
Why Join Us?
- Work on state-of-the-art Large Language Models (LLMs).
- Shape the infrastructure landscape for the 2026 technological paradigm shift.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Architect and implement scalable distributed computing systems for training and inference of large-scale AI models.
- Optimize hardware utilization, including GPU clusters, TPUs, and custom ASICs, to maximize throughput and minimize latency.
- Collaborate with research scientists to translate theoretical models into efficient, production-ready pipelines.
- Develop and enforce best practices for data pipeline management, model versioning, and CI/CD for ML workloads.
- Ensure high availability and fault tolerance of critical AI infrastructure components.
- Lead a team of DevOps and MLOps engineers to drive technical innovation and infrastructure modernization.
Qualifications
- 7+ years of experience in systems architecture, software engineering, or DevOps, with a specific focus on machine learning infrastructure.
- Deep expertise in containerization (Docker, Kubernetes) and orchestration platforms.
- Proficiency in programming languages such as Python, Go, or C++.
- Experience with cloud providers (AWS, GCP, or Azure) and serverless architectures.
- Strong understanding of distributed systems principles, networking, and database technologies.
- Experience with MLOps tools (MLflow, Kubeflow, TFX) and data processing frameworks (Spark, Flink).
- Demonstrated ability to lead cross-functional teams and drive technical strategy in a fast-paced environment.