We are seeking experienced and passionate High-Performance Computing (HPC) Specialists to join our AI Training Infrastructure team. In this role, you will design, optimize, and manage cutting-edge AI training environments for large-scale machine learning models. You will collaborate with a multidisciplinary team to ensure seamless integration and scalability across heterogeneous hardware platforms.
High-Performance Computing (HPC) Specialist - AI Training Infrastructure Responsibilities:
- Design and implement HPC solutions for large-scale AI/ML training workloads, ensuring high performance, scalability, and efficiency.
- Optimize AI training pipelines and workflows to maximize utilization of GPUs and other specialized accelerators.
- Analyze and troubleshoot hardware bottlenecks, network issues, and performance inefficiencies in large-scale AI training environments.
- Collaborate with AI/ML researchers and data scientists to tailor HPC solutions that meet their specific model training requirements.
- Develop monitoring and profiling systems to ensure efficient utilization of resources across heterogeneous systems.
- Stay updated with advancements in HPC, AI/ML frameworks, and heterogeneous hardware technologies.
- Contribute to documentation, best practices, and knowledge sharing within the team.
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- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- 3+ years of experience in HPC environments, particularly for AI/ML workloads.
- Proficiency in parallel programming, distributed systems, and HPC-specific libraries (e.g., MPI, OpenMP, CUDA, ROCm).
- Hands-on experience with at least one hardware platform (e.g., NVIDIA GPUs, AMD GPUs, TPUs, FPGAs, or custom ASICs).
- Familiarity with PyTorch.
- Requires understanding of networked storage solutions, interconnects (e.g., InfiniBand, NVLink), and high-speed networking.
- Past experience in optimizing resource utilization in multi-node training environments.
- Problem-solving, communication, and collaboration skills.
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.