Teams at Unity

Join the Offline Infrastructure team to build and maintain large-scale data pipelines, support distributed training (PyTorch, Ray), and improve reproducibility, monitoring, and performance of ML workflows. Collaborate with ML engineers and researchers to evolve the offline ML platform and translate research ideas into production-ready systems.

Lead the research and development of scalable machine learning systems, collaborating with cross-functional teams, and ensuring production excellence.

Own and extend Unity's runtime on Android/AAOS for automotive HMIs: integrate Unity into native Android apps, build graphics/windowing layers, profile and optimize runtime on constrained SoCs, collaborate with OEMs to investigate issues and enable production deployments, and raise engineering quality through design and testing.