Teams at Avride

Develop and implement on-board localization and cloud mapping algorithms, optimizing rover localization accuracy and cloud mapping processes in challenging environments.

The ML Platform Engineer will build scalable architecture for ML training workloads, optimize system performance, and collaborate with teams for enhanced efficiency on Kubernetes.

Own and harden on-board networking and Linux platform for autonomous vehicles: design fault-tolerant internal networks, implement PTP/gPTP time synchronization, tune Linux networking (NIC buffers, offloads, NAPI), build connectivity daemons (Go/Python) for multi-carrier cellular bonding, integrate networking with embedded Linux on x86_64 and ARM64, and build observability for fleet connectivity.