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Lead platform bring-up and validation of Wayves AI stack on automotive hardware. Port and configure Linux/QNX/AUTOSAR systems, integrate drivers and middleware, automate flashing and tests, and collaborate with OEMs, Verification, and Release teams to ensure robust CI/CD and hardware integration.

Optimize large-scale ML training and inference workloads by profiling bottlenecks, implementing efficiency improvements (parallelism, mixed precision, compilation), building observability and benchmarking tools, and collaborating with research and platform teams to scale models and increase training throughput.

As a Senior Software Engineer, you will evolve Wayve's simulation platform, focusing on robot emulator fidelity, visual fidelity, or scaling, integrating components and leading technical discussions.

The Supply Chain Program Manager oversees end-to-end supply chain execution, ensuring compliance, managing risks, and coordinating across multiple teams for product builds and launches.

Lead technical strategy and execution for petabyte-scale data ingestion pipelines, normalising diverse sources for AI training. Design, optimise, and operate reliable, observable DAG-based pipelines, collaborate with robotics and ML teams, mentor engineers, and drive roadmap, hiring, and cross-functional alignment to meet SLAs.

Maintain and improve reliability, availability, and performance of vehicle software across the dev fleet. Build monitoring, logging, alerting, and on-call tooling; run incident response and postmortems; automate deployments and fleet operations; partner with Vehicle SW and platform teams to define SLOs and harden production environments.