Meta Careers USA Job 1

Meta Careers USA Job 1 for Codec Avatars Systems Engineer

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Meta Careers USA Job 1: Meta Careers & Job Opportunity for the position of Codec Avatars Systems Engineer at the Pittsburgh location.

Here, Job Seekers will get the details about the recruitment of Meta recruitment Drive such as Job Profile, Job location, Experience Job or Experienced Job Opening, Year of Passout required, Salary for the current Profile, and much more.

Candidates are advised to read all the details carefully before making online application for Meta Codec Avatars Systems Engineer Job Opening at Pittsburgh location.

Overview of Meta Careers USA Job 1 for Codec Avatars Systems Engineer:

Job Profile: Codec Avatars Systems Engineer

Experience Required: Experience

Job Location: Pittsburgh

Meta Codec Avatars Systems Engineer Experience USA Job 1:

Codec Avatars Systems Engineer Responsibilities

  • Build, scale, and secure the Linux environment within Meta research lab HPC infrastructure, a heterogeneous environment containing diverse operating systems and applications
  • Work side by side with research scientists to enable the infrastructure for large scale training jobs that explore AR/VR
  • Provide on-call support and lead incident root cause analysis through multiple infrastructure layers (compute, storage, network) for our research lab’s HPC clusters and act as a final escalation point
  • Apply modern engineering methodologies such as Infrastructure-as-Code, container orchestration, and software-defined storage for large scale compute clusters
  • 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
  • Help others around you move faster by identifying issues and driving them to resolution
  • Influence outcomes within your immediate team, peer engineering teams, and with cross-functional stakeholders

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience working independently, handling large projects simultaneously, and prioritizing team roadmap and deliverables by balancing required effort with resulting impact
  • 5+ years experience in systems engineering
  • 5+ years experience automating the management of infrastructure and services
  • 5+ years experience coding in at least one of the following languages: Python, Ruby, PHP, Rust, or Go
  • Thorough understanding of Linux operating system internals
  • Experience with managing HPC scheduler libraries like Slurm, Kubernetes, or LSF
  • Experience with Python library management systems such as Conda or venv

Preferred Qualifications

  • 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 supporting configuration management in a multi-region environment
  • Prior experience building services
  • Prior experience building PaaS or internal clouds
  • 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 with containerization technologies like Docker or Virtual Machines
  • Prior experience in developing/managing distributed network file systems
  • Prior experience optimizing multi-tenant HPC clusters for performance and maintenance
  • 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 Computer vision libraries such as OpenCV
  • Prior experience in GPGPU development with CUDA, OpenCL or DirectCompute

This notification is for the recruitment of Codec Avatars Systems Engineer from Meta. You can apply through the given link for the profile of the Codec Avatars Systems Engineer.

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How to apply Meta Off Campus Recruitment Drive for the role of Codec Avatars Systems Engineer?

Apply Link: Click Here for Meta Careers USA Job 1