Job Description
We are seeking a visionary AI Infrastructure Architect to lead the engineering frontier for Nexus Future Labs in 2026. As we pioneer the next generation of generative AI and autonomous systems, you will be responsible for designing the resilient, scalable backbone that powers our research and production environments. This is a rare opportunity to shape the architectural standards of the future.
Why Join Us?
You will work with world-class researchers and engineers to solve complex scalability challenges. We offer a competitive compensation package, equity, and the chance to define the technology stack of tomorrow.
Responsibilities
- Design and implement high-availability distributed systems for large-scale machine learning workloads.
- Optimize training and inference pipelines to reduce latency and improve model efficiency.
- Collaborate with cross-functional teams to integrate cutting-edge AI models into production infrastructure.
- Ensure data security, compliance, and fault tolerance across all cloud and on-premise environments.
- Mentor junior engineers and establish best practices for code quality and system architecture.
- Research and evaluate emerging hardware accelerators (e.g., TPUs, GPUs) to maximize performance.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
- 5+ years of experience in backend engineering, distributed systems, or infrastructure architecture.
- Deep proficiency in Python, C++, and containerization technologies (Docker, Kubernetes).
- Experience with major cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Strong understanding of machine learning frameworks (TensorFlow, PyTorch, JAX).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.