Meta
Production Systems Engineer, Sustaining
$144K–$204K
Austin, TX +1 · Full-time · Posted Sep 24, 2026
- Location
- Austin, TX
Menlo Park, CA - Experience
- 6+ years in hardware systems technologies or production hardware support at scale; the posting also lists 8+ years working with CPU systems, including hardware and software co-design, and 8+ years providing production support for large-scale systems.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
About the job
Supports Meta’s server hardware lifecycle by testing, monitoring, and troubleshooting systems before and after deployment, with a focus on AI and HPC infrastructure.
What you'll do
- Develop and execute test suites and experiments to detect and diagnose hardware, firmware, and software issues.
- Troubleshoot system failures, identify root causes, and coordinate fixes with internal teams and external vendors.
- Build sustaining workflows, tooling, and practices across hardware and software stacks.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 6+ years of experience in hardware systems technologies or supporting production hardware at scale.
- Experience deploying and productionizing CPU systems and/or related components at scale, and with hardware/software co-design for hyperscale systems.
- Experience with object-oriented programming (e.g., Python, C/C++).
Nice to have
- Knowledge of AI/HPC hardware requirements and specifications.
- Experience developing or debugging CPU systems in a VM environment and optimizing performance, including familiarity with tools, libraries, and frameworks such as NCCL, PyTorch, and CUDA.
Pay
$144,000/year to $204,000/year (base salary)
Tools
Python, C/C++, NCCL, PyTorch, CUDA
AI focus
Develops practices for supporting AI and HPC infrastructure at scale and works with hardware requirements and configurations for AI/HPC workloads.
Model-written summary · the original posting is authoritative