GPU Cluster Systems Engineer
7 days ago
The Allen Institute for AI is seeking a talented GPU Cluster Systems Engineer to join our team. As a Senior Software Engineer, AI Infrastructure, you'll be responsible for designing and developing systems that enable our researchers and engineers to run large-scale, state-of-the-art GPU workloads.
Your responsibilities will include:
- Designing critical systems that solve emerging requirements of cutting-edge research projects while partnering closely with stakeholders
- Delivering software changes, from inception to release
- Contributing to Beaker, our custom job orchestrator written in Go
- Operating a fleet of state-of-the-art GPU servers and supporting infrastructure (storage, networking, etc)
- Reviewing code and design documents; mentoring team members
- Participating in our weekly on-call cycle, during operating hours (9 AM to 5 PM, PT)
- Contributing to long-term vision for revolutionizing GPU-first computation
- Participating in planning exercises; proactively contributing to their improvement
- Fostering a healthy, high-performance engineering culture
We offer a competitive salary range of $140,230 - $213,150 per year, depending on experience. If you're passionate about AI research and development, and have a strong background in software engineering, we encourage you to apply.
The Allen Institute for AI is an equal opportunity employer. We welcome applications from diverse candidates and are committed to creating an inclusive workplace.
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