Job Description
Are you ready to architect the future of artificial intelligence?
Nexus Future Systems is seeking a visionary Senior AI Infrastructure Engineer to lead the development of next-generation computing architectures. In this pivotal role, you will bridge the gap between cutting-edge machine learning research and scalable production infrastructure, ensuring our models are not only powerful but also efficient and robust.
You will work in a high-performance environment where innovation is the currency. If you are passionate about optimizing GPU clusters, deploying LLMs at scale, and solving complex distributed systems challenges, we want to hear from you.
Why Join Us?
- Work on state-of-the-art AI models that define the industry standard.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with top-tier equipment.
Key Responsibilities:
Responsibilities
- Design, implement, and maintain large-scale machine learning pipelines and distributed computing environments.
- Optimize deep learning workloads for high-performance GPUs (NVIDIA H100/A100) to maximize throughput and minimize latency.
- Collaborate with data scientists and researchers to transition models from research prototypes to stable, production-ready services.
- Implement and manage CI/CD pipelines for model training and deployment using Kubernetes and Docker.
- Ensure system reliability, scalability, and security across the AI infrastructure stack.
- Conduct performance tuning and resource allocation strategies to handle millions of concurrent requests.
Qualifications:
Qualifications
- 5+ years of experience in software engineering, with a focus on machine learning infrastructure or systems engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow, and experience with CUDA programming.
- Deep understanding of distributed systems, message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes).
- Experience with cloud platforms (AWS, GCP, or Azure) and specialized GPU instances.
- Excellent problem-solving skills and ability to debug complex performance bottlenecks in high-load systems.
- BS, MS, or PhD in Computer Science, Engineering, or a related technical field.
Skills: Python, PyTorch, TensorFlow, Kubernetes, Docker, AWS, GPU Optimization, Distributed Systems, Machine Learning, CUDA, CI/CD
Category: Information Technology
Meta Title: Senior AI Engineer - San Francisco, CA | Nexus Future Systems
Meta Description: Build scalable AI infrastructure at Nexus Future Systems. Senior AI Engineer role, $180k-$260k, San Francisco. Apply today!
Keywords: AI Engineer, Machine Learning, San Francisco, Distributed Systems, Kubernetes, Python, Tech Jobs
Date Posted: 2023-10-27