Meta

Lead the strategy and infrastructure that automatically tunes Meta’s MTIA accelerator for maximum training and inference performance. This role combines ML systems, compiler, kernel, and hardware-performance expertise to deliver scalable speedups across Meta products.

Build embedded operating-system software for Reality Labs hardware, spanning kernels, drivers, device bring-up, performance optimization, and system integration. This role works at the intersection of hardware and software to ship next-generation computing products.

Develop computer vision and perception algorithms that bridge virtual and real worlds across Meta’s VR, wearables, and mixed-reality products. The role focuses on sensor and display calibration, 3D perception, and bringing advanced research into production.

Meta is seeking a senior technical leader to shape foundational data-infrastructure systems powering storage, processing, analytics, and machine learning at exabyte scale. The role sets cross-organizational technical direction for highly reliable, low-latency distributed platforms used by thousands of engineers.

Business Support Engineers provide technical support for Meta partners, helping them deploy, integrate, troubleshoot, and operate Meta Business Products at scale. The role combines customer-facing engineering, cloud APIs, systems troubleshooting, partner relationship management, and product feedback.

Build scalable systems and ML infrastructure that power reliable evaluations of Meta’s most advanced AI models across text, vision, audio, and other modalities. This role combines distributed systems, developer platforms, orchestration, and production-grade reliability in a frontier research environment.

Lead the architecture and delivery of Meta’s cloud-native, Kubernetes-first host networking platform for AI infrastructure at hyperscale. You’ll build networking primitives spanning virtualization, load balancing, service connectivity, and distributed policy enforcement.

Build the software stack that enables Meta’s MTIA AI accelerators to train and serve next-generation deep learning models. You will work across AI frameworks, compilers, runtimes, high-performance kernels, and performance tooling in collaboration with AI researchers and hardware teams.