Bot Auto

Optimize GPU-accelerated software for real-time perception, planning, and control workloads in autonomous trucks. You will work across software, AI, and hardware teams on embedded GPU performance, neural network inference, and sensor processing.

Build and operate scalable workflow-orchestration platforms that power autonomous-truck engineering, simulation, ML training, and data workloads. You’ll develop internal platform abstractions and tooling across Kubernetes, cloud, and on-premises environments.

Develop deep learning and computer vision algorithms that power autonomous trucking, spanning perception, prediction, planning, mapping, and localization. You will own machine learning projects end to end and collaborate across autonomous driving teams.

Join Bot Auto as a New Grad Algorithm Engineer to develop and optimize deep learning models for autonomous trucks, collaborating with cross-functional teams.

Own the engineering backbone that keeps an autonomous-driving stack reliable, maintainable, and release-ready. You’ll build validation and simulation infrastructure, diagnose road and simulation regressions, and improve the tools that help autonomy teams ship safely.

Design and ship the algorithms that determine how autonomous trucks move, from motion planning and prediction to online mapping. This hands-on role takes algorithms from design through on-vehicle validation and into real freight operations.

Build and validate production-grade embedded software for autonomous vehicle control systems, spanning vehicle-control algorithms, AUTOSAR integration, diagnostics, and real-time verification. This hands-on role combines model-based development, C/C++ programming, Python tooling, and bench-to-vehicle debugging.

Join Bot Auto’s core AI team as a Deep Learning Engineer Intern, developing and evaluating models for challenging autonomous-trucking scenarios. You’ll own a research project while working with large-scale compute and truck datasets.