Job Information
Meta Software Engineer - Codec Avatar ML Compute Team in Pittsburgh, Pennsylvania
Summary:
Reality Labs Research (RL-R) brings together a diverse and highly interdisciplinary team of researchers and engineers to create the future of augmented and virtual reality. On the Codec Avatars ML Compute team, you’ll work on building tools, libraries, and frameworks that will help researchers collaborate with each other and empower their research towards the generation of Codec Avatars. Our team cultivates an honest and considerate environment where self-motivated individuals thrive. We encourage a strong sense of ownership and embrace the ambiguity that comes with working on the frontiers of research.In this software engineer role on the Codec Avatar ML Compute team, you will serve as the point of contact for Meta's research GPU super clusters, managing and optimizing compute resources to enable groundbreaking research in relightable avatars, full-body avatars, and generative AI for codec avatars.
Required Skills:
Software Engineer - Codec Avatar ML Compute Team Responsibilities:
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
Minimum Qualifications:
Minimum Qualifications:
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
Preferred Qualifications:
Preferred Qualifications:
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
Public Compensation:
$146,994/year to $208,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.