- Build, scale, and secure the HPC clusters within Meta research labs, a heterogeneous environment containing diverse operating systems and applications
- Provide on-call support and lead incident root cause analysis through multiple infrastructure layers (compute, storage, network) for HPC clusters and act as a final escalation point
- Collaborate in a diverse team environment across multiple scientific and engineering disciplines, making the architectural tradeoffs required to rapidly deliver software and infrastructure solutions
- Find ways to leverage the scale and complexity of the larger Meta production infrastructure to solve problems for Reality Lab researchers
- Provide guidance to other engineers on best practices to build mature services which are highly available, reliable, secure, and scalable
- Provide guidance to other engineers on best practices to build mature services which are highly available, reliable, secure, and scalable
- Ability to work independently, handle large projects simultaneously, and prioritize team roadmap and deliverables by balancing required effort with resulting impact
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Experience in automating the management of infrastructure and services
- 3+ years experience in distributed system performance measurement, logging, and optimization
- 3+ years experience coding in at least one of the following languages: C++, Python, Rust, or Go
- Thorough understanding of Linux operating system internals, including the networking subsystem
- Experience with Python library management systems such as Conda or Python venv
- Experience in writing system level infrastructure, libraries, and applications
- Experience with software development practices such as source control, code reviews, unit testing, debugging and profiling
- Proven track record of shipping software
- Experience in developing performant software and systems
- Experience with managing HPC scheduler libraries like Slurm, Kubernetes, or LSF
- Prior experience in building out HPC clusters, handling compute, storage, network, operating systems, schedulers, and stakeholder discussions
- Prior experience in cluster oncall operations, including troubleshooting server/scheduler/storage errors, maintaining compute/storage environments/libraries/tools, helping onboard users to the cluster, and answering general questions from users
- Prior experience in cluster coordination and strategy planning, including collecting/understanding needs of users, developing tools to improve user experience, providing guidance on best practices, coordinating distribution of compute/storage resources, forecasting compute/storage needs, and developing long-term user experience/compute/storage strategies
- Prior experience building tooling for monitoring and telemetry
- Prior experience supporting configuration management in a multi-region environment
- Prior experience optimizing multi-tenant HPC clusters for performance and maintenance
- Prior experience with containerization technologies like Docker or Virtual Machines
- Prior experience building services
- Prior experience building PaaS or internal clouds
- Prior experience in developing/managing distributed network file systems
- Prior academic or development experience with machine learning and/or deep learning
- Prior experience in ML libraries such as PyTorch, TensorFlow or cuDNN
- Prior experience in GPGPU development with CUDA, OpenCL or DirectCompute
- Prior experience in network security
- Experience in database and data management systems at scale
- Familiar with Linux observability tools, such as eBPF
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Description
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Software Engineer - Codec Avatar ML Compute Team Responsibilities
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